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data mining - analysis
(2154 results)-
White Papers
A Direct Marketing Framework to Facilitate Data Mining Usage for Marketers: A Case Study in Supermarket Promotions Strategy
Apr 2009
Data mining technology can detect and predict changes in customer behaviour which facilitates the effective planning of direct marketing campaigns. Most of research on data mining for direct...
Provided by Brunel University
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White Papers
Debellor: Open Source Modular Platform for Scalable Data Mining
May 2009
This paper introduces Debellor (www.debellor.org) - an open source extensible data mining platform with stream-oriented architecture, where all data transfers between elementary algorithms take...
Provided by Warsaw University
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White Papers
Teaching Data Mining: The University of Alabama and SAS
Dec 2008
The University of Alabama (UA) and SAS developed a partnership whereby students who complete a sequence of four graduate-level courses can receive a joint Data Mining Certificate from UA and SAS....
Provided by University of Alabama
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White Papers
Internet Special Ops - Stalking Badness Through Data Mining
Jul 2009
Today's Internet threats are global in nature. Identifying, enumerating and mitigating these incidents require the collection and analysis of unprecedented amounts of data, which is only possible...
Provided by Internet Systems Consortium
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White Papers
Using Data Mining and Recommender Systems to Scale Up the Requirements Process
May 2008
Ultra-Large-Scale (ULS) software systems' projects are anticipated to be highly complex and to involve thousands, or even hundreds of thousands of stakeholders. Unfortunately numerous accounts of...
Provided by Association for Computing Machinery
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White Papers
Issues in Applying Data Mining to Grid Job Failure Detection and Diagnosis
Jun 2008
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to detect a variety...
Provided by Association for Computing Machinery
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White Papers
GeoDMA: A Novel System for Spatial Data Mining
Sep 2008
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets have been developed....
Provided by INPE - Instituto Nacional de Pesquisas Espaciais
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White Papers
Waste Management Using a Multilevel Distributed System and Data Mining
Dec 2008
Administration is conducted through the control of events and management of problems in the territory. Economical growth and nowadays technologies lead to difficult problems related to...
Provided by Universitatea Danubius
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White Papers
Short-Term Prediction of Wind Farm Power: A Data Mining Approach
Mar 2009
This paper examines time series models for predicting the power of a wind farm at different time scales, i.e., 10-min and hour-long intervals. The time series models are built with data mining...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Trend Detection and Data Mining Via Wavelet and Hilbert-Huang Transforms
Jun 2008
This paper presents the formulation and evaluation of effective algorithms of reliable data analysis for real-time monitoring of incipient faults and anomalies, data fusion and event...
Provided by American Association for Clinical Chemistry
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White Papers
Privacy Preserving Data Mining in Telecommunication Services
Jul 2007
Privacy preserving data mining is a new research direction in data mining and knowledge discovery. A main reason for the rapid development of this research area is the growing awareness of the...
Provided by Telenor Group
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White Papers
A Data Mining Approach to the Monitoring of Public Programs for the Retraining of Unemployed Workers
Mar 2009
A recent report of the Upjohn Institute on a framework for an optimal labour market information (hereafter LMI) system said that "Government must play a major role to ensure there is a public LMI...
Provided by University of Bologna
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White Papers
An Analysis of Data Mining Applications in Crime Domain
Jan 2008
This paper gives comprehensive surveys of efficient and effective methods/techniques on data mining for crime data analysis. These techniques aim at finding the illegal activities of professional...
Provided by Mahanakorn University of Technology
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White Papers
Application of New Adaptive Higher Order Neural Networks in Data Mining
Oct 2008
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The proposed adaptive HONN...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Feb 2008
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receive answers....
Provided by University of Dortmund
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White Papers
Cross-SAGE: SAGE Data Mining Tool Based on Set Theory
Mar 2008
SAGE (Serial Analysis of Gene Expression) is a technique for analyzing gene expression of a series of tags obtained from cDNA. This technology lets biologists analyze and observe the relative gene...
Provided by National Kaohsiung University of Applied Sciences
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White Papers
A Visual Data Mining Methodology to Conduct Seismic Facies Analysis: Part 2 - Application to 3D Seismic Data
Jan 2009
A visual data-mining approach to unsupervised clustering analysis can be an effective tool for visualizing and understanding patterns inherent in seismic data i.e., seismic facies. The...
Provided by Society of Exploration Geophysicists
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White Papers
A Visual Approach to Exploratory Data Mining
Feb 2009
As the first step upon commencing an in-depth data mining analysis, students should become intimately acquainted with the data under study. This paper presents a methodology and set of custom...
Provided by Texas A&M University
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White Papers
Integrating Data Mining and Agent Based Modeling and Simulation
Jun 2009
This paper introduces an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is concerned with two...
Provided by Springer Science+Business Media
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White Papers
Design and Implementation of a Data Mining Grid-Aware Architecture
Oct 2008
Current business processes often use data from several sources. Data is characterized to be heterogeneous, incomplete and usually involves a huge amount of records. This implies that data must be...
Provided by Universidad Politecnica de Madrid
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White Papers
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Jan 2009
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collaboration. The...
Provided by Universidad Nacional de Educacion a Distancia
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White Papers
A Review on Data Mining and Continuous Optimization Applications in Computational Biology and Medicine
Apr 2009
An emerging research area in computational biology and biotechnology is devoted to mathematical modeling and prediction of gene-expression patterns; it nowadays requests mathematics to deeply...
Provided by Middle East Technical University
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White Papers
Multi-Level Data Mining - One Way to Sophisticated Web-Based Applications
May 2008
With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn...
Provided by University of Linz
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White Papers
Fuzzy Data Mining of Term Associations for Flexible Query Answering
Oct 2008
This paper presents an approach to data mine a document base for term associations that are useful for query expansion in flexible query answering. Fuzzy logic and probability theory are applied...
Provided by Roskilde University
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White Papers
Comparative Study of Data Mining Methods for Aerodynamic Multiobjective Optimizations
Jul 2008
Practical aerodynamic design problems are typically multiobjective design optimization problems that have multiple contradicting objectives and many design parameters. Goal of multiobjective...
Provided by University of Tokyo
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White Papers
Integrating the Development of Data Mining and Data Warehouses Via Model-Driven Engineering
Sep 2008
Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the...
Provided by University of Alicante
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White Papers
Temporal Granular Logic for Temporal Data Mining
Apr 2008
In this paper, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The proposed theoretical...
Provided by University of Neuchatel
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White Papers
RE-EM Trees: A New Data Mining Approach for Longitudinal Data
May 2009
Longitudinal data refer to the situation where repeated observations are available for each sampled individual. Methodologies that take this structure into account allow for systematic differences...
Provided by New York University
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White Papers
Efficient Forest Fire Detection System: A Spatial Data Mining and Image Processing Based Approach
Mar 2009
The drastic ascent in the volume of spatial data owes its growth to the technical advancements in technologies that aid in spatial data acquisition, mass storage and network interconnection. Thus...
Provided by International Journal of Computer Science and Network Security
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White Papers
A Hybrid Data Mining Metaheuristic for the p-Median Problem
Feb 2009
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In this work, one...
Provided by Society for Industrial and Applied Mathematics
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White Papers
Applying Data-Mining Techniques in Honeypot Analysis
Mar 2009
Very little is known about the exact actions executed by a hacker entering a system. Much insight can be gained from following and understanding a hacker's behaviour. It is believed that the more...
Provided by CSIR
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White Papers
Domain Knowledge Integration in Data Mining Using Decision Tables: Case Studies in Churn Prediction
Nov 2008
Companies' interest in customer relationship modelling and key issues such as customer lifetime value and churn has substantially increased over the years. However, the complexity of building,...
Provided by University of Southampton
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Whitepapers
Provenance as Data Mining: Combining File System Metadata With Content Analysis
Feb 2009
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases and the file...
Provided by Hewlett-Packard (HP)
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White Papers
Towards a Model-Driven Engineering Approach of Data Mining
Jul 2008
Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data mining lacks a modelling architecture that...
Provided by University of Alicante
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Whitepapers
Data Mining Model Management to Support Real-Time Business Intelligence in Service-Oriented Architectures
May 2008
Use of predictive models for making business-critical decisions is on the rise. However, serious challenges remain on managing data mining models and integrating them with business services using...
Provided by Hewlett-Packard (HP)
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White Papers
Information Visualization With Text Data Mining for Knowledge Discovery Tools in Bioinformatics
Jul 2009
An abundant amount of information is produced in the digital domain, and an effective Information Extraction (IE) system is required to surf through this sea of information. This paper shows that...
Provided by Korea Advanced Institute of Science and Technology
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White Papers
Spatial Data Mining and Visualization Based on Self-Organizing Map
Dec 2008
Based on the traditional spatial data analysis, a novel mode of spatial data mining and visualization is proposed which integrates the self-organizing map for the actual problem. Simulations for...
Provided by Xinyang Normal University
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White Papers
Spatial Data Mining for Retail Sales Forecasting
Apr 2008
This paper presents a use case of spatial data mining for aggregate sales forecasting in retail location planning. In particular, the data mining technique Support Vector Regression (SVR) is used...
Provided by University of Girona
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White Papers
KM and Data Mining
Nov 2008
The exponential increase in information, primarily due to the electronic capture of data and its storage in vast data warehouses, has created a demand for analyzing the large amount of data...
Provided by Universitatea de Vest
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White Papers
Medical Image Classification Using an Efficient Data Mining Technique
May 2008
Data mining refers to extracting or "Mining" knowledge from large amounts of data. It is an increasingly popular field that uses statistical, visualization, machine learning, and other data...
Provided by Deakin University
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Whitepapers
A Method for Preserving Secret Information in the Data Mining Through Cryptography
Sep 2012
Data mining will extract vital information from massive knowledge collections - however generally these collections square measure split among numerous parties. Real knowledge is just too valuable...
Provided by International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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Whitepapers
An Effective Frequent Pattern Mining with Systolic Tree on Reconfigurable Platform
Mar 2012
In business, companies are working fast to gain a valuable competitive advantage over other businesses. A fast-growing and popular technology, which can help to gain this advantage, is data...
Provided by International Journal of Communications and Engineering
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Whitepapers
Study On XML Based Context-Driven Search Engine for Web Data Mining
Mar 2012
There is an ever-growing availability of semi structured information on the Web and in digital libraries. Increasingly, users, both expert and non expert, have access to text documents equipped...
Provided by International Journal of Communications and Engineering
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Whitepapers
User Based Record Retrieval for Text Classification
Mar 2012
Feature selection is an important preprocessing step for problems of high dimension such as text categorization. Text categorization is a fundamental technique to mine massive amount of textual...
Provided by International Journal of Communications and Engineering
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Whitepapers
An Integrated Algorithm Scheme for Mobile Service
Mar 2012
Spatial data mining techniques are used to mine data values with location information. Temporal analysis is applied to perform time analysis. Location and time based analysis is applied on a...
Provided by International Journal of Communications and Engineering
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Whitepapers
Identification of Users Preferences Based on Search Engine Logs
Mar 2012
Search engines return roughly the same results for the same query, regardless of the user's real interest. Personalized search is an important research area that aims to resolve the ambiguity of...
Provided by International Journal of Communications and Engineering
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Whitepapers
Multi Stage Knowledge Base for Content Based Image Retrieval with Efficient Feedback
Mar 2012
Multimedia images are increasing day to day. So retrieving images in large scale database is hectic. To be more profitable, relevance feedback techniques were incorporated into CBIR such that more...
Provided by International Journal of Communications and Engineering
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Whitepapers
Missing Value Estimation for Mixed Attribute Data Sets Using Higher Order Kernels
Mar 2012
Missing data imputation is a key issue in learning from incomplete data. Various techniques have been developed with great successes on dealing with missing values in data sets with homogeneous...
Provided by International Journal of Communications and Engineering
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Whitepapers
Mining Software Deficiencies Using Random Tree Algorithm
Mar 2012
A relevant sub area of reverse engineering is identification of modules requiring re engineering, which focuses on predicting faulty modules. To this end, predicting faulty modules may use any...
Provided by International Journal of Communications and Engineering
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Whitepapers
Mining Usage Profiles Using Fuzzy Clustering and Its Applications
Feb 2012
Web usage mining is an application of data mining technology to mine the data of the web server log file. It can discover the browsing patterns of user and some kind of correlations between the...
Provided by International Journal of Emerging Technology and Advanced Engineering (IJETAE)
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Whitepapers
Keyword Extraction and Headline Generation Using Novel Word Features
Jun 2010
The authors introduce several novel word features for keyword extraction and headline generation. These new word features are derived according to the background knowledge of a document as...
Provided by Association for the Advancement of Artificial Intelligence
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Whitepapers
Text Document Clustering in Distributed Peer Networks
Mar 2012
Text mining is a way to identify new, previously unknown information by applying techniques from natural language processing and data mining. But most of the techniques for text mining are based...
Provided by International Journal of Communications and Engineering
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Whitepapers
Reduced Time Approach for Interactive Postmining of Association Rules Using Ontologies
Mar 2012
Association rule mining is the oldest and a crucial task in data mining. In association rule mining, the latest trend is to reduce the number of association rules to a great extent. Algorithms...
Provided by International Journal of Communications and Engineering
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Whitepapers
Improved Frequent Pattern Approach for Mining Association Rules
Mar 2012
An important aspect of data mining is to discover association rules among large number of item sets. Association rules are if/then statements that help uncover relationships between seemingly...
Provided by International Journal of Communications and Engineering
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Whitepapers
Discovering Usage Patterns From Web Data Using Web Usage Mining
Jan 2012
This paper work concentrates on web usage mining and in particular focuses on discovering the web usage patterns of websites from the server log files. Web Usage Mining is a part of Web Mining,...
Provided by International Journal of Electronics Communication and Computer Engineering
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Whitepapers
Mining User's Interests From Weblog Data
Mar 2012
Analyzing users' internet log information and extracting their interests of Web-watching behaviors are vital and challenging analysis topics of internet usage mining. Users visit their favorite...
Provided by International Journal of Communications and Engineering
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Whitepapers
Enhancement of Profile SVM with Distribution Management Model
Mar 2012
Classification techniques are used to assign category labels for the transactions. Global and local learning models are used in the classification process. Global characteristics of the data are...
Provided by International Journal of Communications and Engineering
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Whitepapers
An Efficient Feature Reduction Technique For Large Scale Text Data
Mar 2012
The text data dimension reduction plays an important role in the present day mining of text data and information retrieval. Dimensionality reduction algorithms are generally designed for feature...
Provided by International Journal of Communications and Engineering
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Whitepapers
Applying Data Mining Techniques in Genetic Fuzzy Systems Rules To Network Intrusion Detection
Mar 2012
In this paper, the authors present how Data Mining discovers and extracts useful patterns from this large data to find observable patterns. The paper demonstrates the ability of Data Mining in...
Provided by International Journal of Communications and Engineering
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Whitepapers
Authenticated Multistep Nearest Neighbour Search in Data Mining
Mar 2012
Multistep processing is commonly used for Nearest Neighbor (NN) and similarity search in applications involving high-dimensional data and costly distance computations. Today, many such...
Provided by International Journal of Communications and Engineering
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Whitepapers
A Study on Behavioural Pattern of Students in Educational Environment
Mar 2012
The path for the students must be traced efficiently in educational environment and this becomes the greatest difficulty. For example, institutions must know a student's choice to enroll in...
Provided by International Journal of Communications and Engineering
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Whitepapers
Web Usage Mining Systems and Technologies
Jun 2012
Web usage mining is the area of data mining which deals with the discovery and analysis of usage patterns from web data, specifically web logs, in order to improve web based applications. Web...
Provided by International Journal of Computer Applications
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Whitepapers
Indirect Correlations: Significance in Web Mining
Jun 2012
Direct association rules reflect relationships existing between items that relatively often co-occur in common transactions direct association rules are dedicated to describe the direct...
Provided by International Journal of Computer Applications
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Whitepapers
Web Search Engines: Mining Right Information
Jun 2012
A web search engine maintains and catalogs the content of web pages in order to make them easier to find and browse. There are many search engines which are similar, differentiates from the other...
Provided by International Journal of Computer Applications
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Whitepapers
Integration and Interaction of Distributed Data Mining with Agent Technology
Jun 2012
In recent years, more and more researchers have been involved in research on both agent technology and distributed data mining. A clear disciplinary effort has been activated toward removing the...
Provided by International Journal of Computer Applications
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Whitepapers
Predictive Data Mining for Highly Imbalanced Classification
Dec 2012
The paper addresses some theoretical and practical aspects of data mining, focusing on predictive data mining, where two central types of prediction problems are discussed: classification and...
Provided by Sri Sai Solutions
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Whitepapers
An Intelligent Approach to Search Timeline Data on Web
Dec 2012
The internet is a huge source of unstructured information. Web mining is done to organize these huge amounts of data available online in this paper the authors propose a technique to retrieve and...
Provided by International Journal of Emerging Technology and Advanced Engineering (IJETAE)
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Whitepapers
A Review of Negative and Positive Association Rule Mining with Multiple Constraint and Correlation Factor
Dec 2012
Negative and positive association rule mining is extract needful information for large database. The generation of negative and positive rule based on interesting pattern and non-interesting...
Provided by International Journal of Emerging Technology and Advanced Engineering (IJETAE)
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Whitepapers
A Theoretical Formulation of Bit Mask Search Mining Technique for Mining Frequent Itemsets
Dec 2012
In this paper, the authors have dealt with the problem of finding frequent itemsets which can be used to make strong association rules. Although a number of methods have been developed, those can...
Provided by International Journal of Emerging Technology and Advanced Engineering (IJETAE)
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Whitepapers
An Evolutionary Multi Label Classification Using Associative Rule Mining for Spatial Preferences
Jun 2011
Multi-label spatial classification based on association rules with Multi Objective Genetic Algorithms (MOGA) is proposed to deal with multiple class labels problem which is hard to settle by...
Provided by International Journal of Computer Applications
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Whitepapers
Privacy Preservation with Attribute Reduction in Quantitative Association Rules Using PSO and DSR
Aug 2012
Data mining aims at extracting hidden information from data. Data mining poses a threat to information privacy. Privacy preserving data mining hides the sensitive rules and prevents the data from...
Provided by PSG
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Whitepapers
Association Rule Mining Using Self Adaptive Particle Swarm Optimization
Nov 2012
Particle Swarm Optimization (PSO) algorithm is a simple and powerful population based stochastic search algorithm for solving optimization problems in the continuous search domain. However, the...
Provided by PonderCloud
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Whitepapers
Signed-With-Weight Technique for Mining Web Content Outliers
Feb 2013
Web outlier mining is dedicated for finding web pages which differ significantly from the rest of the web document taken from the same category. Most of the existing algorithms for web content...
Provided by International Journal of Computer Applications
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Whitepapers
Privacy-Preserving Data Sharing Using Data Reconstruction Based Approach
Mar 2012
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To preserve client privacy in the...
Provided by MIT
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Whitepapers
An Efficient Implementation of Apriori Algorithm Based on Hadoop-Mapreduce Model
Dec 2012
Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset;...
Provided by International Journal of Reviews in Computing
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Whitepapers
A Natural Language Processing Based Web Mining System for Social Media Analysis
Jan 2013
Social Media Monitoring and Analysis are the new trends in technology business. The challenge is to extract correct information from free-form texts of social media communication. Natural Language...
Provided by Indiana State University
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Whitepapers
Get actionable insight with security intelligence for mainframe environments
Feb 2013
In today’s interconnected business environment, no system is immune to threats, including mainframe environments. To help manage this challenge IBM delivers integrated threat analysis, real-time...
Provided by IBM
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Whitepapers
Solutions for Analyzing CRM Systems - Data Mining Algorithms
Oct 2011
All over the world, the authors are surrounded by data. There are large volumes of data, but not enough information. This is a problem that many companies and industries are facing. A solution to...
Provided by NORTH ATLANTIC UNIVERSITY UNION
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Whitepapers
Grid Learning Classifiers - A Web Based Interface
Mar 2011
The toolkit for learning classifier system for grid data mining is a communication channel between remote users and gridclass system. Gridclass system is the system for grid data mining, grid...
Provided by University of Milano-Bicocca
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Whitepapers
Predicting Sequential Pattern Changes in Data Streams
Jan 2012
Data streams are utilized in an increasing number of real-time information technology applications. Unlike traditional datasets, data streams are temporally ordered, fast changing and massive. Due...
Provided by National Chung Hsing University
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Case Studies
Implementing a Statistical Database Using Business Intelligence Tools and Data Warehouse Concepts
Feb 2009
The Department of Foreign Affairs and Trade (DFAT) provides foreign and trade policy advice to the government and is the lead agency managing Australia's international presence. DFAT has been...
Provided by Praxa
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Case Studies
State Rail Authority - Board Reporting Online
Sep 2008
State Rail Authority provides passenger rail transport throughout New South Wales through its CityRail and CountryLink services and is responsible for the safe operation, crewing and maintenance...
Provided by CALUMO
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Case Studies
Zara Investment Gets Deeper Insight Into Hotel Operations With Microsoft Business Intelligence Solution
Nov 2008
Zara Investment Holding Co. Ltd. (Zara) is dedicated to excellence in all areas of its business. Like so many companies, Zara relied heavily on manual processes for consolidating and analyzing...
Provided by Microsoft
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Case Studies
Sun World Analyzes Crop Costs and Harvesting Efficiency With IBM Cognos TM1
Jun 2009
Based in Bakersfield, California, Sun World International grows and markets fresh fruit and vegetables. It needed to improve operating efficiency through detailed operations and cost analysis. It...
Provided by IBM
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Case Studies
Burgess Pigment Improves Reporting and Analysis of Orders With a Data Warehousing Solution
Jul 2009
Burgess Pigment Company is a leading provider of functional anhydrous and hydrous aluminum silicates, used in everything from ceramics, paints and ink to additives in food, medicines and...
Provided by IBM
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Case Studies
Deploying a Business Intelligence Solution for One of the Leading Global Pharmaceutical Company
Jan 2009
The customer needed a solution that allowed users to do their own ad hoc reporting and analysis. The customer selected Datamatics to deploy a business intelligence solution that would meet its...
Provided by Datamatics Global Services
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Case Studies
Development of BI Application for One of the World's Leading Pharmaceutical Companies
Jan 2009
One of the one of the world's leading pharmaceutical companies with close to $22 billion in annual revenues. The company employs over 64,000 people worldwide and has a presence in over 100...
Provided by Datamatics Global Services
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Case Studies
Business Intelligence Gears Up With Solution Package
May 2009
As an application service provider for municipal authorities, KIVBF had to make substantial improvements to the performance of its SAP NetWeaver BW, because speedy analysis of data from the...
Provided by Hewlett-Packard (HP)
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White Papers
The Payoff of Pervasive Performance Management: Spreading Data Analysis Tools From the Executive Suite to the Shop Floor Brings Top-Line and Bottom-Line Benefits
May 2008
BusinessWeek Research Services (BWRS) launched a research program in early 2008 to determine the views of senior business and technology executives on whether widespread use and dispersal of...
Provided by McGraw-Hill Companies
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Case Studies
Alipay.com Increases Development Productivity by 2.5 Times and Minimizes IT Management
Jun 2009
Founded by the Alibaba Group, Alipay.com is an independent Chinese payment platform provider. The company offers simple, secure, and quick online payment solutions for e-commerce activities. It...
Provided by Oracle
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White Papers
How Business Intelligence Should Work: The Connection Between Strategic, Analytical, and Operational Initiatives
Mar 2009
Business Intelligence (BI) has been around for a long time, and over the years has taken on many different forms - reporting, OLAP, ad hoc, performance management, predictive analytics, data...
Provided by Information Builders
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White Papers
Democratizing Data Mining - A Radical Approach to Pervasive Predictive Analytics
Dec 2008
The area of incorporating predictive analytics into operational processes has, for the most part, relied on "Industrial Strength" data mining and knowledge discovery products employed by expert...
Provided by Microsoft
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White Papers
An Introduction to the Jaspersoft Business Intelligence Suite
Jul 2009
The Jaspersoft Business Intelligence Suite is a comprehensive Business Intelligence (BI) suite that provides robust reporting, report server, data analysis, and data integration for organizations...
Provided by JasperSoft
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Whitepapers
BI for Business Users: How IT Can Make Business Intelligence Easy for Everyone
Apr 2009
BI isn't just for "Power Users" anymore. The latest BI solutions put the power of advanced business intelligence into the hands of more people throughout the organization - improving the speed and...
Provided by IBM
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White Papers
Closing the Loop in a Consolidated World: Evaluating Packaged Analytic Applications
Jan 2009
Analytic applications are the business complement to enterprise applications, although they have always taken a backseat to their operational brethren until recently. While enterprise applications...
Provided by Data Warehousing Institute
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White Papers
Remote Data Capture: Acquisition and Analysis
Jun 2009
Over the last 15 years, Internet and eTechnologies have become an integral part of everyday business in most sectors, but have taken time to gain traction in the clinical trials arena. Now, as the...
Provided by Touch Briefings
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White Papers
Finding the Answers With Oracle Business Intelligence
Jul 2008
With its business intelligence suite, Oracle can facilitate the alignment of organization's goals and strategies, processes and performance by embedding business intelligence into business...
Provided by Oracle
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White Papers
Business Analytics - Six Questions to Ask About Information and Competition
Jul 2008
Specific technologies are required for analytical competition, but most large organizations probably have many of them already. Assuming that critical data reside in transactional systems such as...
Provided by nGenera
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White Papers
JD Edwards Reporting and Analysis: Helping the Non-Technical JDE End-User Choose the Proper Tool
Dec 2008
This whitepaper is geared towards users of JD Edwards (JDE) ERP software, both World and Enterprise One (E1). However, the general concepts should be applicable to many ERP packages and data. So...
Provided by Cetova
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White Papers
JD Edwards Reporting and Analysis: Must-Have Multidimensional and Relational Analysis Functionality
Jun 2009
The goal of this whitepaper is to assist the non-technical JD Edwards (JDE) end-user in more effectively executing the Search and Selection process for a Reporting and Analysis solution. The...
Provided by Cetova
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White Papers
MSC Industrial Direct- customer case study
Sep 2009
"Following a company merger, MSC Industrial Direct Co. found that duplicate customer records were disrupting the business workflow and causing sales compensation issues. MSC Industrial Direct Co....
Provided by Pitney Bowes
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White Papers
Collaborative Brushing and Linking for Co-Located Visual Analytics of Document Collections
Mar 2009
Many real-world analysis tasks can benefit from the combined efforts of a group of people. Past research has shown that to design visualizations for collaborative visual analytics tasks, one needs...
Provided by EUROGRAPHICS Association
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White Papers
Mining Frequent Cross-Graph Quasi-Cliques
Jan 2009
Joint mining of multiple datasets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in bioinformatics, jointly...
Provided by Association for Computing Machinery
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White Papers
Microsoft SQL Server 2008 Analysis Services Overview
Dec 2007
Microsoft SQL Server 2008 Analysis Services builds on the value delivered with the significant investments in Analysis Services 2005 around scalability, advanced analytics and Microsoft Office...
Provided by Microsoft
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White Papers
Predictive Analysis With SQL Server 2008
Jul 2008
Microsoft SQL Server 2008 offers predictive analysis through a complete and intuitive set of data mining tools. Seamless integration with the Microsoft Business Intelligence platform provides rich...
Provided by Microsoft
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White Papers
Predictive Analytics for the Retail Industry
May 2008
The Data Mining Add-Ins for Office 2007 can be used to solve multiple business problems. The examples used in this paper describe the retail environment, but these methods are not exclusive to...
Provided by Microsoft
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White Papers
Configuring the Default OLAP Cubes
Apr 2009
The default Online Analytical Processing (OLAP) cubes that are provided with Microsoft Dynamics AX require full license and configuration keys. If any license or configuration key is turned off,...
Provided by Microsoft
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Case Studies
Ford Motor Company Drives Down Telco and IT Costs With MBG
Jan 2009
As part of an overall initiative to streamline its internal businesses using the Web, Ford wanted a solution that could simplify the reallocation of IT and telecom costs. As with most large...
Provided by MBG Expense Management
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Case Studies
National Transportation Company Finds Direction in Managing Telecom Expenses With MBG
Jan 2009
The national freight railroad company, with more than 20,000 miles of track in over 20 eastern states wanted to centralize its telecom spend into one streamlined, management solution. The company...
Provided by MBG Expense Management
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Case Studies
Large Healthcare Provider Finds Prescription for Savings With MBG
Jan 2009
The national healthcare provider, with more than 200 locations across the country, wanted to centralize the management of its telecommunications and IT services. The company sought to address...
Provided by MBG Expense Management
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Case Studies
HARDI INTERNATIONAL A/S Optimizes Operational Efficiency With Enhanced Analytical Tools
Aug 2009
HARDI INTERNATIONAL wanted to enable follow-up on key figures such as the degree of coverage of products and geographical areas, purchasing, warehousing, production effectiveness, and compliance...
Provided by Oracle
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Case Studies
UGA Digital Sharpens Its Display Offerings With Embedded Database
Aug 2009
UGA Digital's content delivery networks are useful for managing digital photo frames and other displays. However, UGA Digital needed to provide data mining capabilities to collect data on user...
Provided by Oracle
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Case Studies
EMC Corporation Delivers Reports in Minutes With Unified Data Warehouse and Analytics Tools
Sep 2009
EMC Corporation wanted to consolidate disparate data sources to reduce total cost of ownership, improve efficiency, and sharpen decision making and provide diverse users with insight into data on...
Provided by Oracle
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Case Studies
Software Firm Provides Real-Time Data Mining Solutions Using SQL Server 2005
Aug 2009
GSTAT provides business intelligence and data mining solutions, including real-time Next Best Offers (NBO) to customers across a range of industries. GSTAT developed its GSTAT Xeligence data...
Provided by Microsoft
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White Papers
Microsoft SharePoint Products and Technologies Operations
Feb 2008
System and application management troubleshooting is an essential administrative skill. This module examines a number of performance troubleshooting solutions, including the Performance tool and...
Provided by Microsoft
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White Papers
Configuring the Business Data Catalog
Sep 2008
Microsoft Office SharePoint Server 2007 deployments enables one to integrate data from Line-Of-Business (LOB) systems. Integrating business data into Office SharePoint Server 2007 implementation...
Provided by Microsoft
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White Papers
Beyond Reporting: Requirements for Large-Scale Analytics
Oct 2009
As organizations seek to gain greater value from their data warehousing investments, they invariably look to push the envelope of their front-end environment and supplement reporting with more...
Provided by Aster Data
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White Papers
Aster nCluster In-Database MapReduce: Deriving Deep Insights from Large Datasets
Oct 2009
A lack of expressive techniques to transform and analyze massive data volumes in organizations has led to costly workarounds in data warehousing. One of the first to face the challenge of...
Provided by Aster Data
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Webcasts
Join Us for the Informatica 9 Launch: Transform your business. Transform your world
Oct 2009
Join Us for the Informatica 9 Launch Transform your business. Transform your world. Business and IT will finally be on the same page. Data quality issues will be a thing of the past. The promise...
Provided by Informatica
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White Papers
Final Chance to Learn how Business Leaders are making IT work for them
Oct 2009
The importance of effective decision making and aligning business strategy with your daily activities is essential in times of economic crisis, but also during periods of sustained growth and...
Provided by SAP
