- Subscribe to this page:
- RSS
- Email Alert
data tools
(1778 results)Search the Library
Mission Statement
TechRepublic's ITPapers is the Web's largest library of free technical IT white papers, webcasts, and case studies. Covering IT categories including Data Management, IT Management, Networking, Communications, Enterprise Applications, Storage, Security and much more, TechRepublic's White Paper Directory is the best source for technical white papers and IT information.
-
White Papers
Driving Management Excellence for SAP Customers With Oracle Enterprise Performance Management
Mar 2009
More than 4,000 companies that use SAP to run their business also rely on Oracle's Enterprise Performance Management (EPM) system to manage their business. This occurs because Oracle's EPM system...
Provided by Oracle
-
White Papers
Deploying Oracle Hyperion Smart View for Office, Fusion Edition
Jan 2009
Oracle Hyperion Smart View for Office, Fusion Edition (Smart View) provides a common Microsoft Office interface for Oracle Enterprise Performance Management (EPM) suite of products along with...
Provided by Oracle
-
White Papers
How to Build Business Intelligence Using Oracle Real User Experience Insight
Apr 2009
This whitepaper highlights how Oracle Real User Experience Insight complements traditional Web analytics technologies and solutions, enabling them to maximize their value to the business....
Provided by Oracle
-
White Papers
An Overview of Oracle Business Intelligence Applications
Jun 2009
No longer a luxury item, Business Intelligence (BI) applications are required to optimize corporate profits and performance. The most valuable BI systems pull data from across the enterprise and...
Provided by Oracle
-
White Papers
Fuelling the Engine: The Importance of Business Intelligence and Performance Management to the Mid-Market
Jul 2009
Across the mid-market, inefficiencies are compounded by the lack of visibility into pertinent data, of processes being adequately and flexibly automated, and for the performance of the business to...
Provided by Quocirca
-
White Papers
Rich Information Applications or Business Intelligence - How Do I Choose?
Mar 2008
Traditional Business Intelligence (BI) tools are designed to help self-sufficient power users to access, massage and present information to management. In contrast, as an information application...
Provided by Actuate
-
Whitepapers
Course Recommender System in E-Learning
Jun 2012
Now-a-days, E-learning is becoming popular. E-learning is essentially the computer and network-enabled transfer of knowledge & skill. E-learning is also referred to as web-based education and...
Provided by Kurukshetra University
-
Whitepapers
Comaprison of Data Mining and Auditing Tools
Jun 2011
Auditing means the review of transaction in order to detect frauds and errors in the transactions. For the process of auditing auditor has to analyze a large volume of data that is very difficult...
Provided by Kurukshetra University
-
Whitepapers
Process Mining: Process Management With Data Mining
Aug 2010
In this paper, the authors propose new methods for ordering the Web pages returned from search engines. Given a few search keywords, nowadays most search engines could retrieve more than a few...
Provided by Kurukshetra University
-
Whitepapers
Proposed Hybrid Data Warehouse Architecture Based on Data Model
Dec 2010
Data warehousing has come a long way from its inception. In the present scenario, data warehousing is evolving into rich system which is capable of furnishing key performance metrics to top-level...
Provided by Kurukshetra University
-
Case Studies
Afibel Enables Problem-Free Template Designing for Over 500,000 Customer Mailings Each Year
Jul 2009
Afibel, a mail-order company dedicated to ready-to-wear clothing, mainly for older women, now serves over a million customers in France, Belgium, and the UK. Afibel wanted to acquire a publishing...
Provided by Oracle
-
Case Studies
USA Drug Improves Company Performance by Speeding Access to Data With Web-Based Solution
Jul 2009
USA Drug wanted to improve reporting processes to reduce reliance on cumbersome spreadsheets and expand analytical capabilities and automate report distribution to facilitate swift decision-making...
Provided by Oracle
-
Case Studies
Just-in-Time Intelligence Helps Comic Relief Boost Donations 25% While Reducing Failure Risk
Aug 2009
Comic Relief wanted to calculate real-time online donations for broadcast during Red Nose Day 2009, a seven-hour, live, televised fundraising event and identify the clips that generate the highest...
Provided by Oracle
-
Webcasts
Business Objects - Business Intelligence (BI) Solutions
Jan 2009
In the past, mid-size companies found it difficult to gain insight into business data. Business intelligence (BI) was perceived to be costly, complex, and only for industry giants. The attendee...
Provided by Dell
-
White Papers
Formatting Instructions for Educational Data Mining Conference
Mar 2008
This paper contains instructions for formatting papers for the International Conference on Educational Data Mining. One's life will be much easier if one reads this paper and uses the Styles that...
Provided by Worcester Polytechnic Institute
-
White Papers
Methodology of Adaptation of Data Mining Methods for Medical Decision Support: Case Study
Feb 2009
Data mining is a problem solving technique, which analyzes the data already stored in the data base. It is a process of discovering, classifying and finding patterns in data. The classification of...
Provided by Kaunas University of Technology
-
White Papers
Data Mining: Understanding Data and Disease Modeling
Jan 2009
Analyzing large data sets requires proper understanding of the data in advance. This would help domain experts to influence the data mining process and to properly evaluate the results of a data...
Provided by Indian Institute of Technology Bombay
-
White Papers
On Domination Game Analysis for Microeconomic Data Mining
Sep 2008
Game theory is a powerful tool for the analysis of the competitions among manufacturers in a market. This paper presents a study on combining game theory and data mining by introducing the concept...
Provided by University of British Columbia
-
White Papers
Constructive Data Mining: Modeling Australian Inflation
Jun 2009
This paper improves upon de Brouwer and Ericsson's (1998) model of Australian inflation in three directions: cointegration analysis, treatment of weak exogeneity, and model design. On the third...
Provided by Federal Reserve Board
-
White Papers
Data Mining for Intelligence Led Policing
Jun 2009
The benefit of data mining for police seems tremendous, yet only a few limited applications are documented. This paper starts with describing the implementation problems of police data mining and...
Provided by Sentient Software
-
White Papers
Research on Intelligent Decision Oriented Architecture of Data Mining
May 2009
The large commercial transactions data implied lots of useful knowledge for business decisions, the hidden patterns and relationships could be found by data mining. This paper analyzed and pointed...
Provided by Academy Publisher
-
White Papers
Data Capture and Data Mining of Urban Air Pollution: The Building-Based Approach
Oct 2008
The method and accuracy of data capture dominate the spatial distribution of urban air pollution. Due to limited budget, installation space, and labor resource, permanent or temporary air...
Provided by University of Macau
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
White Papers
Workflows for Visualizing Data Mining Results
Apr 2009
The author reviews methods and tools for visualizations in neuroimaging as well as point to some of the problems with interpreting such visualizations. The author furthermore describes...
Provided by Technical University of Denmark
-
White Papers
Understanding Data Mining
Jun 2009
The effectiveness of the buying decisions is governed by how well one understands the problems, the assets and the objectives. Data mining, or "DM," can help one make sense of the available...
Provided by Qbase
-
White Papers
Data Mining in Oral Medicine Using Decision Trees
Feb 2008
Data mining has been used very frequently to extract hidden information from large databases. This paper suggests the use of decision trees for continuously extracting the clinical reasoning in...
Provided by World Academy of Science, Engineering and Technology
-
White Papers
Visual Tools for Initial Exploratory Data Mining
Feb 2009
Data mining has been defined as "The process of discovering useful information in large data repositories" (Tan et al., 2006). It focuses on the discovery of valid, previously unknown, and...
Provided by Texas A&M University
-
White Papers
Does Data Mining Really Work for Higher Education Fundraising?: A Study of the Results of Predictive Models Built for 5 Higher Education Institutions
Nov 2008
By the year 2000 it was not uncommon to hear the terms data mining and predictive modeling bandied about in higher education advancement. Even though most of them would struggle if asked to give...
Provided by Data Description
-
White Papers
Business Intelligence: A Strategic Imperative in the Current Healthcare Economy
Jul 2009
In today's climate, healthcare providers face increased economic, regulatory and competitive pressures, all of which threaten to reduce revenue and squeeze already decreasing margins. Rising bad...
Provided by MedeAnalytics
-
White Papers
Modeling for Fault Localization in Data Warehouse Applications
Jul 2009
The paper describes first results of an attempt to develop a general tool for localizing faults in applications of data warehouse technology. Genericity is achieved by a model-based approach: a...
Provided by Technischen Universitat Munchen
-
White Papers
Towards Development of Solution for Business Process-Oriented Data Analysis
Jun 2009
This paper proposes a modeling methodology for the development of data analysis solution. The Author introduce the approach to address data warehousing issues at the at enterprise level. The...
Provided by Riga Technical University
-
Whitepapers
A Genetic-Fuzzy Algorithm to Discover Fuzzy Classification Rules for Mixed Attributes Datasets
Nov 2011
Genetic Algorithms, being global search method, have been extensively applied for discovery of automated classification rules. Fuzzy Logic was integrated with genetic algorithms for discovery of...
Provided by International Journal of Computer Applications
-
Whitepapers
Comparison of Parameter Free MST Clustering Algorithm with Hierarchical Agglomerative Clustering Algorithms
Nov 2011
Clustering is a splitting up of data into groups of similar objects called clusters. The objects in a cluster are similar between themselves and dissimilar compared to objects of other clusters....
Provided by International Journal of Computer Applications
-
Whitepapers
An Experimental Study of Pattern Mining Technique to Improve the Business Strategy
Nov 2011
Pragmatism of pattern mining system is to study the data and determines a model that is closets to characteristics of the data being examine. This necessitates identifying interesting association...
Provided by International Journal of Computer Applications
-
Whitepapers
Survey on Recent Developments in Privacy Preserving Models
Jan 2012
Privacy preserving in data mining is one of the major and increasingly interested area of research under data security. Privacy will be provided for data at different levels such as, while...
Provided by International Journal of Computer Applications
-
Whitepapers
An Inventory Replenishment Model Under Purchase Dependency in Retail Sale
Jan 2012
In multi-item inventory with very large number of items in retail sale stores, purchase dependency in demand amongst the items can be described by association rules mined from sale transaction...
Provided by International Journal of Computer Applications
-
Whitepapers
A Novel Algorithm for Cross Level Frequent Pattern Mining in Multidatasets
Jan 2012
Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth, which were typically...
Provided by International Journal of Computer Applications
-
Whitepapers
Pattern Mining Method for Hospital Facility Review Using Optimized Nonlinear Mathematical Model
Feb 2013
The development of discovering appealing, valuable and important patterns from large spatial datasets is stated as spatial data mining. From the preceding hospital location analyses technique, the...
Provided by International Journal of Computer Applications
-
Whitepapers
Study and Analysis of Predictive Data Mining Approaches for Clinical Dataset
Feb 2013
Data Mining is an assortment of effective tool set to perform the statistical analysis on an immense dataset and to retrieve the valuable information from the dataset. In this paper, the authors...
Provided by Maharshi Dayanand University, Rohtak
-
Whitepapers
Detection of Linkage Patterns Repeating Across Multiple Sequential Data
Feb 2013
Sequential data mining is a technology for acquiring useful information and patterns from large quantities of sequential data. Research into industrial and commercial applications of sequential...
Provided by International Journal of Computer Applications
-
Whitepapers
Clustering for High Dimensional Data: Density Based Subspace Clustering Algorithms
Feb 2013
Finding clusters in high dimensional data is a challenging task as the high dimensional data comprises hundreds of attributes. Subspace clustering is an evolving methodology which, instead of...
Provided by International Journal of Computer Applications
-
Whitepapers
Procedural Steps for Knowledge Mining in Time Series
Feb 2013
Symbolic intervals which form temporal patterns are usually formulated through Allen's interval relations that originate in temporal reasoning. But this representation is not advantages for...
Provided by International Journal of Computer Applications
-
Whitepapers
Recent Trends in Computational Prediction of Renal Transplantation Outcomes
Feb 2013
Renal transplantation has become the treatment of choice for most patients with end-stage renal disease. Recent advances in renal transplantation notably, the matching of Major Histocompatibility...
Provided by University of Kentucky's VisCenter
-
Whitepapers
Data Mining in Teacher Evaluation System Using WEKA
Feb 2013
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales,...
Provided by University of Tasmania
-
Whitepapers
An Approach to Automation Selection of Decision Tree Based on Training Data Set
Feb 2013
In Data mining applications, very large training data sets with several million records are common. Decision trees are very much powerful and excellent technique for both classification and...
Provided by International Journal of Computer Applications
-
Whitepapers
A Survey on Data Mining Approaches
Dec 2011
In the new world, with advances in modern industries and businesses and increase in the growing need for data with reference to the knowledge of data processing in order to participate in a big...
Provided by International Journal of Computer Applications
-
Whitepapers
Implementation of WAP Through an Innovative and Efficient Technique
Dec 2011
Web Access Pattern (WAP) tree mining is finding of sequence pattern from web access log. It has gained importance in view of increasing usage of World Wide Web. Access to web pages generates...
Provided by International Journal of Computer Applications
-
Whitepapers
Application of Cluster Analysis in Agriculture - A Review Article
Dec 2011
In this paper, the authors humbly present a review of some applications of cluster analysis in the field of agriculture and allied sciences. A few applications among them, which have been...
Provided by International Journal of Computer Applications
-
Whitepapers
Without Expert Fuzzy Based Data Mining Based on Fuzzy Similarity to Mine New Association Rules
May 2012
The problem of mining association rules in a database is introduced. Most of association rule mining approaches aim to mine association rules considering exact matches between items in...
Provided by International Journal of Computer Applications
-
Whitepapers
Classification of Vehicle Collision Patterns in Road Accidents Using Data Mining Algorithms
Dec 2011
This paper emphasizes the importance of Data Mining classification algorithms in predicting the vehicle collision patterns occurred in training accident data set. This paper is aimed at deriving...
Provided by International Journal of Computer Applications
-
Whitepapers
Recent Trends in Text Classification Techniques
Dec 2011
Text Mining is the discovery of valuable, yet hidden, information from the text document. Text classification (Also called Text Categorization) is one of the important research issues in the field...
Provided by International Journal of Computer Applications
-
Whitepapers
Evaluating the Yield of Hybrid Napier Grass with Data Mining Techniques
Dec 2011
Data Mining is the process of identifying the hidden patterns from large amount of data. It is commonly used in a marketing, surveillance, fraud detection and scientific discovery. In data mining,...
Provided by International Journal of Computer Applications
-
Whitepapers
Comprehensive Survey of Framework for Web Personalization Using Web Mining
Dec 2011
World Wide Web is a global village and a rich source of information. The number of users accessing web sites is increasing day by day. For effective and efficient handling, web mining coupled with...
Provided by International Journal of Computer Applications
-
Whitepapers
Target Oriented Sequential Pattern Mining Using Recency and Monetary Constraints
May 2012
Many approaches in constraint based sequential pattern mining have been proposed and most of them focus only on the concept of frequency, which means, if a pattern is not frequent, it is removed...
Provided by International Journal of Computer Applications
-
Whitepapers
A Survey on Association Rule Mining Using Apriori Algorithm
May 2012
Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of...
Provided by International Journal of Computer Applications
-
Whitepapers
Eliminating Homogeneous Cluster Setup for Efficient Parallel Data Processing
Feb 2013
This project proposes to eliminate homogeneous cluster setup in a parallel data processing environment. A homogeneous cluster setup supports static nature of processing which is a huge...
Provided by Amity University
-
Whitepapers
Association Rule Hiding by Heuristic Approach to Reduce Side Effects & Hide Multiple R.H.S. Items
May 2012
Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. One of the great challenges of data mining is to protect the confidentiality of...
Provided by International Journal of Computer Applications
-
Whitepapers
Application of Particle Swarm Optimization in Data Clustering: A Survey
Mar 2013
Clustering is the process of organizing similar objects into groups, with its main objective of organizing a collection of data items into some meaningful groups. The problem of Clustering has...
Provided by Assam University
-
Whitepapers
A Survey on Effective Classification for Text Mining Using One-Class SVM
Mar 2013
Data mining techniques have been widely used to find new patterns and knowledge from large amount of data. While Bayesian models were widely used in the early days, more advanced machine learning...
Provided by BARKATULLAH UNIVERSITY BHOPAL
-
Whitepapers
Novelty Detection as a Tool for Automatic Detection of Orthographic Transcription Errors
Feb 2009
Making accurate verbatim transcriptions is very time-consuming and in the case of extemporaneous speech of native and non-native speakers the task is extremely difficult. While previous research...
Provided by Radboud Universiteit Nijmegen
-
Case Studies
Microsoft Information Technology Group (MSIT): Microsoft Cuts Costs and Improves Access to Information With Enhanced Data Warehouse
Mar 2012
Microsoft Corporation has operations in 112 countries and more than 90,000 employees worldwide. To improve management of human resources information, Microsoft needed to accelerate query...
Provided by Microsoft
-
Case Studies
TNT Post Italia: Postal Company Delivers Self-Service BI and Increases Its Competitiveness and Efficiency
Jan 2012
TNT Post Italia uses the Microsoft platform to process and track more than 2 million envelopes every day. TNT Post decided to implement a new BI solution that could improve insight and facilitate...
Provided by Microsoft
-
Case Studies
China Sports Lottery Technology Development Co., Ltd: Microsoft Business Intelligence Boosts Development of China Sports Lottery
Jan 2012
The China Sports Lottery Technology Development Co., Ltd. wants better ways to manage lottery data to support growth and timely business decisions for the national lottery enterprise. Currently,...
Provided by Microsoft
-
Case Studies
NJSIC Oranta: Insurance Firm Gains Better Insight Into Its Business, Improves Efficiency With BI Solution
Mar 2012
The Oranta National Joint Stock Insurance Company (NJSIC Oranta), founded in 1921 as Ukrderzhstrakh, offers about 20 types of insurance, including auto, property, and personal. Oranta is the...
Provided by Microsoft
-
Case Studies
1&1 Internet AG: Internet Services Firm Boosts BI Performance by 30 Percent With Data Warehouse Solution
Jan 2012
1&1 Internet AG is a German provider of web hosting and other Internet services to customers worldwide. The company needed more data warehouse capacity and faster data processing speeds. With...
Provided by Microsoft
-
Case Studies
MetLife: Global Insurance Firm Makes Faster Business Decisions With Microsoft BI Solution
Feb 2012
MetLife, a global provider of insurance and financial services, wanted better access to Business Intelligence (BI) tools and data in its Portuguese division. To improve service to its user base,...
Provided by Microsoft
-
Case Studies
Life Care Centers of America: Long-Term Care Provider Uses BI to Improve Decision-Making, Saves Millions of Dollars
Mar 2012
Life Care Centers of America, which operates more than 200 skilled nursing and other care facilities, knew that its continued growth had to be fueled by continued innovation. When its traditional...
Provided by Microsoft
-
Case Studies
ABB S.p.A.: Italian Engineering Firm Improves Customer Analysis Capabilities With BI Solution
Mar 2012
ABB S.p.A. is owned by ABB, a global power and automation company headquartered in Zurich, Switzerland. To meet business demands, ABB S.p.A. needed to give employees better Business Intelligence...
Provided by Microsoft
-
Case Studies
Konica Minolta Business Technologies: Printer Manufacturer's BI Users Gain Self Service Analysis and Reporting at Lower Cost
Apr 2012
Konica Minolta Business Technologies wanted to expand its growth in the highly competitive office printing market and knew that analyzing current customer service for new opportunities data held...
Provided by Microsoft
-
Whitepapers
Surveillance of Real Time Video Streams by Using Hill Climbing Algorithm
Mar 2013
Data mining is the application of statistical techniques and programmatic algorithms to discover previously unnoticed relationships within the data. With the development of software and hardware,...
Provided by International Journal of Computer Applications
-
Whitepapers
Text Mining in Analyzing the Presentation of Educational Trainers
Mar 2013
This work deals with Text analysis that involves information retrieval through lexical analysis to learn word occurrence and distributions, pattern recognition, information extraction, data mining...
Provided by Bharathidasan University
-
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
-
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
-
Whitepapers
Data Mining in Telecommunications and Studying Its Status in Iran Telecom Companies and Operators
Nov 2007
Telecommunication companies generate and deal with a tremendous amount of data, including : call detail data, network data and customer data, the amount of data is so great that manual analysis of...
Provided by K.N.Toosi University of Technology
-
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
-
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
-
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
-
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
-
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
-
White Papers
Workflows for Visualizing Data Mining Results
Apr 2009
The author reviews methods and tools for visualizations in neuroimaging as well as point to some of the problems with interpreting such visualizations. The author furthermore describes...
Provided by Technical University of Denmark
-
White Papers
Understanding Data Mining
Jun 2009
The effectiveness of the buying decisions is governed by how well one understands the problems, the assets and the objectives. Data mining, or "DM," can help one make sense of the available...
Provided by Qbase
-
White Papers
Data Mining in Oral Medicine Using Decision Trees
Feb 2008
Data mining has been used very frequently to extract hidden information from large databases. This paper suggests the use of decision trees for continuously extracting the clinical reasoning in...
Provided by World Academy of Science, Engineering and Technology
-
White Papers
Visual Tools for Initial Exploratory Data Mining
Feb 2009
Data mining has been defined as "The process of discovering useful information in large data repositories" (Tan et al., 2006). It focuses on the discovery of valid, previously unknown, and...
Provided by Texas A&M University
-
White Papers
Does Data Mining Really Work for Higher Education Fundraising?: A Study of the Results of Predictive Models Built for 5 Higher Education Institutions
Nov 2008
By the year 2000 it was not uncommon to hear the terms data mining and predictive modeling bandied about in higher education advancement. Even though most of them would struggle if asked to give...
Provided by Data Description
-
White Papers
Business Intelligence: A Strategic Imperative in the Current Healthcare Economy
Jul 2009
In today's climate, healthcare providers face increased economic, regulatory and competitive pressures, all of which threaten to reduce revenue and squeeze already decreasing margins. Rising bad...
Provided by MedeAnalytics
-
White Papers
Modeling for Fault Localization in Data Warehouse Applications
Jul 2009
The paper describes first results of an attempt to develop a general tool for localizing faults in applications of data warehouse technology. Genericity is achieved by a model-based approach: a...
Provided by Technischen Universitat Munchen
-
White Papers
Towards Development of Solution for Business Process-Oriented Data Analysis
Jun 2009
This paper proposes a modeling methodology for the development of data analysis solution. The Author introduce the approach to address data warehousing issues at the at enterprise level. The...
Provided by Riga Technical University
-
White Papers
Symbolic Data Analysis Tools for Recommendation Systems
Apr 2009
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, through actions or...
Provided by Universidade de Pernambuco
-
White Papers
Accurate and Efficient Mode Acceleration Data Recovery for Superelement Models
Jan 2009
Procedures are described for accurate and efficient mode acceleration data recovery of transient responses for superelement models. The procedures are more accurate than MSC/NASTRAN's standard...
Provided by University of Wisconsin
-
White Papers
PermaDAQ: A Scientific Instrument for Precision Sensing and Data Recovery in Environmental Extremes
Apr 2009
The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-mountain permafrost in unattended operation over multiple years. This paper discusses the...
Provided by Association for Computing Machinery
-
White Papers
Optimized Compressed Sensing for Curvelet-Based Seismic Data Reconstruction
Dec 2008
Compressed Sensing (CS) or compressive sampling provides a new sampling theory to reduce data acquisition, which says that compressible signals can be exactly reconstructed from highly incomplete...
Provided by University of British Columbia
-
White Papers
Verification of Bit-Error Rate in Bang-Bang Clock and Data Recovery Circuits
Feb 2009
High speed serial data links are expected to transmit data at very high rates with very high fidelity. Today speeds approaching 10 Gb/s are becoming common with 40 Gb/s on the horizon. Typically,...
Provided by Designer's Guide Consulting
-
White Papers
Super-Kamioka Computer System for Analysis
Apr 2008
The Institute for Cosmic Ray Research (ICRR) of the University of Tokyo newly established the Kamloka Observatory In 1996, and has continued to observe the elementary particles known as neutrinos...
Provided by Fujitsu
-
Webcasts
Kickfire and Jaspersoft: How to Have Your Business Intelligence Cake and Eat It Too!
Jan 2009
Even in these tough economic times, Business Intelligence and Data Warehousing continue to grow in importance. In fact, according to a recent Information Week report, the BI market grew by 22% in...
Provided by JasperSoft
-
Webcasts
Embedding BI Into Your Applications
Jan 2009
The attendee of this webcast will learn how easy it is to embed or integrate reporting and business intelligence into the software application. The presenter will walk through the key...
Provided by JasperSoft
-
Webcasts
Data Analysis - The Jaspersoft Way
Jan 2009
To stay competitive and productive, today's organizations use data analysis to carefully study critical data on product sales, customer behavior, and dozens of other topics. Fortunately, there's...
Provided by JasperSoft
-
Webcasts
End-to-End Open Source Business Intelligence, ETL, and Data Warehouse for MySQL
Jan 2009
The presenter of this webcast will discusses the advances in BI/DW technologies, demonstrates the integration of Jaspersoft BI Suite and Infobright's analytic database and gives real-world...
Provided by JasperSoft
-
Webcasts
Jaspersoft V3.5 EMEA Webinar
Jan 2009
The attendee of this webcast will learn all the key changes and new features of Jaspersoft Business Intelligence 3.5. Jaspersoft v3.5 delivers integrated analysis capabilities that provide simple,...
Provided by JasperSoft
-
Webcasts
Introducing Jaspersoft V3.5 - New Tools, Power, and Advantages
Jan 2009
The attendee of this webcast will learn all the key changes and new features of Jaspersoft Business Intelligence 3.5. Jaspersoft v3.5 delivers integrated analysis capabilities that provide simple,...
Provided by JasperSoft
-
Webcasts
Best-of-Breed BI on a Budget
Jan 2009
Everyone knows that best-practice business intelligence can deliver big business value - but it can also cost big bucks. The attendee of this webcast will learn how the unique combination of...
Provided by JasperSoft
-
Webcasts
Delivering Open Source BI for Federal Government
Jan 2009
Government systems integration specialists from Autonomic Resources and open source BI experts from Jaspersoft present practical, real-world guidelines in this webcast. The attendee will learn how...
Provided by JasperSoft
-
Webcasts
Delivering Business Insight Using Dashboards
Jan 2009
The attendee of this webcast will learn how the organization can use low-cost, highly reliable Business Intelligence technology from Jaspersoft to cost-effectively extend the business benefits of...
Provided by JasperSoft
-
Webcasts
Delivering Affordable Business Intelligence Solutions for Financial Services
Jan 2009
The attendee of this webcast will learn how financial services firm ALaS integrated Jaspersoft into their financial services control platform for front, middle, and back-office management, and how...
Provided by JasperSoft
-
Webcasts
IDC Presents: Best Practices For Pervasive Business Intelligence
Jan 2009
To improve strategic and operational decision-making, more and more enterprises are pursuing a convergence of organizational culture, business processes and technologies known as Pervasive...
Provided by JasperSoft
-
Webcasts
Extending Jaspersoft Open Source BI for the Data Warehouse With R Analytics
Jan 2009
Jaspersoft and OpenBI are pleased to present integration of R Statistical Analysis with the Jaspersoft Business Intelligence Suite. This integration combines sophisticated statistical analysis...
Provided by JasperSoft
-
Webcasts
Jaspersoft V3 and Infobright Brighthouse: A Ground-Breaking Marriage of Business Intelligence and Analytical Database Technology
Jan 2009
The presenter of this webcast showcases the integration of the latest commercial open source BI technology from Jaspersoft with the high-performance, columnar, analytic data warehouse from...
Provided by JasperSoft
-
Webcasts
OnDemand Business Intelligence for Your SAP Environment
Jan 2009
In these tough economic times, money and resources are tight. However, the business intelligence reporting & analytics needs are probably greater than ever. Look at a Software-as-a-Service...
Provided by SAP
-
Case Studies
Data Dynamics Components Help Precision. BI Create Powerful, Easy-to-Use Business Intelligence Applications for Healthcare
Jan 2009
Precision.BI, established in Wyomissing, PA in 2001, provides a Business Intelligence (BI) solution designed to do exactly that. A key problem that Precision.BI faced in developing its solution is...
Provided by GrapeCity
-
Case Studies
Blackstone & Cullen, Inc. Case Study: Imerys
Mar 2009
Once a sculptor of steel, Imerys now fashions its work out of clay. Its focus is on the production of industrial minerals and pigments. An acquisition of World Minerals required a rapid response...
Provided by Blackstone & Cullen
-
Case Studies
Business Case - LeasePlan
Mar 2009
LeasePlan is one of the world's leading vehicle management companies operating a fleet of more than 1.1 million vehicles. LeasePlan had an immediate need to create a single source of the truth for...
Provided by Blackstone & Cullen
-
Case Studies
Georgia Institute of Technology Increases Efficiencies and Improves Business Intelligence With Campus Recreation Software
Aug 2008
Located in Atlanta, Georgia Tech is consistently ranked among the top ten public universities in U.S. News & World Report and stands as one of the oldest and most respected technological research...
Provided by Active Network
