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data mining - analysis
(2154 results)-
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
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White Papers
Quick Response Data Mining Model Using Genetic Algorithm
Aug 2008
This paper proposes an efficient data mining system for making quick response to users and providing a friendly interface. When data tuples have higher relationship, it could contain long frequent...
Provided by Shanghai University
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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
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White Papers
Sustainable Operation and Management of Data Center Chillers Using Temporal Data Mining
Jul 2009
Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the resulting large carbon...
Provided by Association for Computing Machinery
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White Papers
Unsupervised Static Discretization Methods in Data Mining
Apr 2009
Discretization of real-valued data is often used as a pre-processing step in many data mining algorithms. This paper reviews some important unsupervised discretization methods among which there...
Provided by Titu Maiorescu University
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White Papers
Using Information Filtering in Web Data Mining Process
Aug 2008
The amount of Web information is growing rapidly, improving the efficiency and accuracy of Web information retrieval is uphill battle. There are two fundamental issues regarding the effectiveness...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Enterprise Data Mining: A Review and Research Directions
Jul 2008
Manufacturing enterprise systems and service enterprise systems carry out the bulk of economic activities in any country and in the increasingly connected world. Enterprise data are necessary to...
Provided by Louisiana State University
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White Papers
Assessing Data Mining Results Via Swap Randomization
Dec 2007
The problem of assessing the significance of data mining results on high-dimensional 0 - 1 datasets has been studied extensively in the literature. For problems such as mining frequent sets and...
Provided by Association for Computing Machinery
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White Papers
Temporal Representation for Gene Networks: Towards a Qualitative Temporal Data Mining
Jan 2008
Processing literature (i.e., text corpora) to capture gene regulation events is not easy and can be driven by the final data representation. The paper proposes to build, manually, an example of...
Provided by Inderscience Enterprises
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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
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Whitepapers
Scalable Tensor Decompositions for Multi-Aspect Data Mining
Oct 2008
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensionalities. Tensors...
Provided by IBM
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White Papers
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
May 2009
While the emerging field of Privacy Preserving Data Mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are difficult to...
Provided by University of Central Florida
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White Papers
Program Evolution for Data Mining
Jan 2009
Around the world there are innumerable databases of information. The quantity of information available has created a high demand for automatic methods for searching these databases and extracting...
Provided by Carnegie Mellon University
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White Papers
Clustering and Classification of Maintenance Logs Using Text Data Mining
Oct 2008
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditional techniques....
Provided by Australian Computer Society
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White Papers
Preprocessing DNS Log Data for Effective Data Mining
Feb 2009
The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively mine DNS log data...
Provided by Northeastern University
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White Papers
T-Time: Threshold-Based Data Mining on Time Series
May 2008
Mining time series data is an important approach for the analysis in many application areas as diverse as biology, environmental research, medicine, or stock chart analysis. As nearly all data...
Provided by Willkommen am Institut fur Informatik
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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
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White Papers
Data Mining and Homeland Security: An Overview
Aug 2008
Data mining has become one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use...
Provided by CRS
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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
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White Papers
The Contribution of Data Mining in Information Science
Apr 2009
Information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of...
Provided by Brunel University
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White Papers
Parallel Data Mining on Graphics Processors
Oct 2008
The paper introduces GPUMiner, a novel parallel data mining system that utilizes new-generation Graphics Processing Units (GPUs). The system relies on the massively multi-threaded SIMD (Single...
Provided by Microsoft
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White Papers
Making Privacy-Preserving Data Mining Practical With Smartcards
Jan 2009
Data mining provides large benefits to the commercial, government and homeland security sectors, but the aggregation and storage of huge amounts of data about citizens inevitably leads to an...
Provided by Bar-Ilan University
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White Papers
Predicting Change Propagation in Software System With Data Mining Techniques
May 2008
Software maintenance is a very costly and time-consuming work during the software life cycle. The problems with software maintenance are even more pressing in the software system. Software...
Provided by National Cheng Kung University
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White Papers
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market
Jul 2008
This paper presents the adaptation of an evolutionary cooperative competitive RBFN learning algorithm, CO2RBFN, for short-term forecasting of extra virgin olive oil price. The olive oil time...
Provided by Universidad de Jaen
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White Papers
Data Mining-Based Fragmentation of XML Data Warehouses
Nov 2008
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail to achieve....
Provided by Association for Computing Machinery
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White Papers
A Nonextensive Method for Spectroscopic Data Analysis With Artificial Neural Networks
Jan 2009
This paper applies an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. The aim is to establish an...
Provided by National University Of Ireland
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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
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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
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White Papers
Data Analysis and Reduction Using Stationary Solutions of the NLS Equation
Aug 2009
This paper demonstrates that the stationary solutions of the Nonlinear Schrodinger Equation (NLS) can be used as an orthonormal basis for the square integrable functions with periodic boundary...
Provided by University of Washington
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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
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Whitepapers
Adaptive Segmentation: HP Neoview Platform Breaks New Ground in Mixed Workload Management
Apr 2009
Adaptive segmentation is one of the many advanced capabilities provided by the Neoview EDW platform to meet the rigorous demands of modern data warehousing environments. No other system provides...
Provided by Hewlett-Packard (HP)
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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
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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
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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
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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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Whitepapers
Customers Satisfaction in Shipping Companies Under Artificial Intelligence and Multicriteria Decision Analysis
Nov 2009
MARITIME companies in cabotage have an intense competition that reduces Earnings Before Interest and Taxes-EBIT, thus critical improvements in every aspect of shipping operation can make the...
Provided by Technical University of Cluj-Napoca
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Whitepapers
Fuzzy Concept Mining Based on Formal Concept Analysis
Dec 2008
Data Mining (also known as Knowledge Discovery) is defined as the non-trivial extraction of implicit, previously unknown and potentially useful information from data. It includes not only methods...
Provided by Sunmoon
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Whitepapers
A Single-Scan Algorithm for Mining Sequential Patterns from Data Streams
Mar 2012
Sequential PAttern Mining (SPAM) is one of the most interesting research issues of data mining. In this paper, a new research problem of mining data streams for sequential patterns is defined. A...
Provided by Kainan University
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Whitepapers
Discover Sequential Patterns in Incremental Database
Mar 2008
The task of sequential pattern mining is to discover the complete set of sequential patterns in a given sequence database with minimum support threshold. But in practice, minimum support some time...
Provided by Tamir Khason
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Whitepapers
Fuzzy Clustering Analysis of Data Mining: Application to an Accident Mining System
Aug 2012
In this paper, the authors deal with the application of data transforms and fuzzy clustering to extract useful data. It is possible to distinguish similar information which includes selector and...
Provided by WasatchWare
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Whitepapers
Multi-Objective Genetic-Fuzzy Data Mining
Oct 2012
Many approaches have been proposed for mining fuzzy association rules. The membership functions, which critically influence the final mining results, are difficult to de ne. In general, multiple...
Provided by Tamir Khason
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Whitepapers
A Supervised Learning Approach for Automatic Keyphrase Extraction
Nov 2012
Keyphrases, synonymously spoken as keywords, represent semantic meta-data and play an important role to capture the main theme represented by a large text data collection. Although authors provide...
Provided by King Saud University
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Whitepapers
An Intelligent Distributed Algorithm for Efficient Web Image Retrieval
Jun 2010
Web image retrieval is a challenging task that requires efforts from image processing, web text retrieval, and link structure analysis. General web image retrieval engines such as Google and Yahoo...
Provided by NORTH ATLANTIC UNIVERSITY UNION
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Whitepapers
Putting Web Threat Protection and Content Filtering in the Cloud
Dec 2013
Should IT managers deploy secure web gateways as software or appliances on-premises? Or should they utilize a cloud-based service? You probably know the standard reasons in favor of cloud-based...
Provided by Webroot Software Inc.
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Whitepapers
Inter Cluster Distance Management Model With Optimal Centroid Estimation for K-Means Clustering Algorithm
Jun 2011
Clustering techniques are used to group up the transactions based on the relevancy. Cluster analysis is one of the primary data analysis method. The clustering process can be done in two ways such...
Provided by WSDOT
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Whitepapers
Cellular Learning Automata Approach for Data Classification
Dec 2012
Data classification is a process that can categorize data to achieve the relationship between attributes and extract the suitable rules for prediction process. There are different learning methods...
Provided by ISSN
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Whitepapers
Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud
Nov 2012
In the information industry, huge amount of data is widely available and there is an imminent need for turning such data into useful information. This need is fulfilled by the process of...
Provided by IRD India
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Whitepapers
Density-Based Clustering of Streaming Data Using Weighting Scheme
Jul 2012
Clustering of data streams is an important issue in data mining. A large number of algorithms exist for clustering data streams but most of these algorithms give equal weights to all the...
Provided by Indian Institute of Technology Roorkee
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Whitepapers
Survey of Recent Clustering Techniques in Data Mining
Aug 2012
Cluster analysis or clustering is the task of assigning a set of objects into groups called clusters. Main task of clustering are explorative data mining, and a common technique for statistical...
Provided by Samrat Amin
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Whitepapers
An Analysis on Effective and Accurate Data Clustering Based on Non-Negative Matrix Factorization
Sep 2012
Nonnegative matrix factorization method is a kind of new matrix rotting method. It is an effective tool for large data processing and analysis. At the same time, NMF has an important performance...
Provided by IJCSMR
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Whitepapers
Using Data Mining Techniques for Business Intelligence in Web Mining
Sep 2012
The World Wide Web (WWW) is a popular and interactive medium to disseminate information today. The web is huge, diverse, and dynamic and thus raises the scalability, multimedia data, and temporal...
Provided by IJCSMR
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Whitepapers
Studies on Research and Development in Web Mining MANET Protocols Under Wormhole Attack Enent
Apr 2012
World Wide Web has changing into one amongst the foremost comprehensive data resources. It most likely, if not perpetually, covers the data requirement for any user. However the net demonstrates...
Provided by International Journal of Computer Applications
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Whitepapers
Approach of Association Rules Mining for Service Discovery in Mobile Adhoc Network
Apr 2012
The Service Discovery in Mobile Ad-hoc NETworks (MANET) is a difficult task because of the changing nature of such networks. Different services are available in MANET considering time and...
Provided by International Journal of Computer Applications
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Whitepapers
A Modified Projected K-Means Clustering Algorithm with Effective Distance Measure
Apr 2012
Clustering high dimensional data has been a big issue for clustering algorithms because of the intrinsic sparsity of the data points. Several recent research results signifies that in case of high...
Provided by International Journal of Computer Applications
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Whitepapers
Optimizing the Web Cache Performance by Clustering Based Pre-Fetching Technique Using Modified ART1
Apr 2012
Web caching is a technique which is used to reduce user perceived latency when user is accessing the Web pages. Web pre-fetching is a scheme where Web pages are pre-fetched into the intermediate...
Provided by International Journal of Computer Applications
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Whitepapers
MSApriori Using Total Support Tree Data Structure
Apr 2012
Association rule mining is one of the important problems of data mining. Single minimum support based approaches of association rule mining suffers from "rare item problem". An improved approach...
Provided by International Journal of Computer Applications
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Whitepapers
Web Miming Tool: A View
Oct 2012
Web data mining, also known as screen scraping, web scraping and data extraction is using software and tools to extract data from sources that are not formatted to be used as automated data...
Provided by IJCSMR
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Whitepapers
An Effective Web Document Clustering for Information Retrieval
Oct 2012
The size of web has increased exponentially over the past few years with thousands of documents related to a subject available to the user. In this paper, the authors introduce a combine approach...
Provided by IJCSMR
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Whitepapers
Use of Data Mining Techniques for the Evaluation of Student Performance:A Case Study
Oct 2012
Data and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and...
Provided by Lovely Professional University
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Whitepapers
Sequential Pattern Mining Using Apriori Algorithm & Frequent Pattern Tree Algorithm
Jan 2013
The concept of Sequential Pattern Mining was first introduced by Rakesh Agrawal and Ramakrishnan Srikant in the year 1995. Sequential Patterns are used to discover sequential sub-sequences among...
Provided by IOSR Journal of Engineering
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Whitepapers
Informative Knowledge Discovery Using Multiple Data Sources, Multiple Features and Multiple Data Mining Techniques
Jan 2013
Data mining is a process of obtaining trends or patterns in historical data. Such trends form business intelligence that in turn leads to taking well informed decisions. However, data mining with...
Provided by IOSR Journal of Engineering
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Whitepapers
Literature Survey on Various Frequent Pattern Mining Algorithm
Jan 2013
Data mining discovers hidden pattern in data sets and association between the patterns. In this association, rule mining is one of the techniques used to achieve the objective of data mining....
Provided by IOSR Journal of Engineering
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Whitepapers
Knowledge Based Analysis of Statistical Tools in Attack Detection
Jul 2012
With the network playing more and more important effect in the modern society, crimes using computer network are presenting the obvious trend of escalation. In order to ensure network security,...
Provided by IOSR Journal of Engineering
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Whitepapers
Detection and Summarization of Genuine Review Using Visual Data Mining
Apr 2012
In earlier days the authors were asking their friends or relatives for their opinions regarding products which they want to purchase from the merchants. But now a day's E-commerce is gaining more...
Provided by International Journal of Computer Applications
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Whitepapers
Mining Of Spatial Co-Location Pattern from Spatial Datasets
Mar 2012
Spatial data mining, or knowledge discovery in spatial database, refers to the extraction of implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial databases....
Provided by International Journal of Computer Applications
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Whitepapers
Investigation of Spatio Temporal Associations in Wireless Sensor Networks
Mar 2012
Wireless sensor network applications involve discovering patterns from observed events. Generally, prior knowledge of the patterns is not available. The data collected by the sensors are delivered...
Provided by International Journal of Computer Applications
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Whitepapers
A Rough Set Approach for Generation and Validation of Rules for Missing Attribute Values of a Data Set
Mar 2012
Data mining has emerged as most significant and continuously evolving field of research because of its ever growing and far reaching applications into various areas such as medical, military,...
Provided by International Journal of Computer Applications
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Whitepapers
Mining Association Rules from Web Logs by Incorporating Structural Knowledge of Website
Mar 2012
One of the basic problems with the Association Rule discovery is that when Mining Algorithms are applied on Web Access Logs, the total number of generated rules is found to be very large. For...
Provided by International Journal of Computer Applications
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Whitepapers
An Accurate Grid -Based PAM Clustering Method for Large Dataset
Mar 2012
Clustering is the procedure to group similar objects together. Several algorithms have been proposed for clustering. Among them, the K-means clustering method has less time complexity. But it is...
Provided by International Journal of Computer Applications
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Whitepapers
A Genetic Algorithm for Discovering Classification Rules in Data Mining
Mar 2012
Data mining has as goal to discover knowledge from huge volume of data. Rule mining is considered as one of the usable mining method in order to obtain valuable knowledge from stored data on...
Provided by International Journal of Computer Applications
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Whitepapers
Applying Artificial Neural Network in Web Usage Mining
Nov 2012
Application of data mining techniques to the World Wide Web, referred to as Web mining, has been the focus of several recent research projects and papers. The term Web mining has been used in two...
Provided by IJCSMR
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Whitepapers
Semantic Similarity Approach Using RSVM Based on Personalized Search in Web Search Engine
Nov 2012
Measuring the semantic similarity between words is an important component in various tasks on the web such as relation extraction, community mining, document clustering, and automatic metadata...
Provided by SNPI
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Whitepapers
An Efficient Web Content Extraction Using Mining Techniques
Nov 2012
Web mining is a class of data mining. In order to relieve a "Data Rich but Information Poor" dilemma, Data Mining emerged. Web Mining is a variation of this field that distils untapped source of...
Provided by IJCSMR
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Whitepapers
A Survey on Uncertain Data & Its Clustering
Nov 2012
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. Such databases are much...
Provided by IJCSMR
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Whitepapers
Improving the Accuracy and Efficiency of K-Means Algorithm by Using Less Similarity Based Clustering Technique for Better Initial Centroids
Nov 2012
Data mining is a field at the intersection of computer science and statistics, is the process that involves, introducing patterns in large data sets. It utilizes methods at the intersection of...
Provided by IJCSMR
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Webcasts
The Converging Paths of SQL Server and SharePoint - Don't Wait Until It's Too Late!
Oct 2009
SharePoint and SQL server have much in common, and understanding their similarities will help you streamline your day-to-day tasks and help you work more efficiently. Do you know what those...
Provided by Quest Software, now a part of Dell
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Whitepapers
Bigger picture, smarter decisions: Today's BI tools
Oct 2009
With people and systems increasingly interconnected, it's hard to keep up with data. In the ForwardView article, "Bigger picture, smarter decisions: BI tools," you'll learn how Business...
Provided by IBM
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Whitepapers
Get more from BI by understanding your analysis needs
Oct 2009
By understanding the four major types of analysis companies can avoid the common pitfalls that derail more traditional approaches to BI implementation.
Provided by IBM
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Webcasts
nCircle Focus: Improving Security Operations With Active Data Analysis
Jan 2009
Enterprise security teams are stretched to their limit every day and are forced to make difficult decisions about where to spend their time. What they need is comprehensive network and risk...
Provided by nCircle
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Case Studies
Transformed Technology Environment Improves Operations and Reduces Costs
Nov 2008
With 5,000 offices delivering parcels to more than 120,000 destinations worldwide, DHL's operations are vast, complex and nonstop. Over time, as business expanded, planning and executing air and...
Provided by Hewlett-Packard (HP)
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Whitepapers
3 Strategies for Reducing IT Support Costs
Oct 2009
As companies brace for more bumps in the economic downturn, many organisations are indiscriminately cutting costs. To ensure a seamless transition into the post-recession market, however, slashing...
Provided by Citrix Online
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Whitepapers
Forrester Strategies for Assessing IT Business Satisfaction
Oct 2009
If you aren't assessing customer satisfaction you are overlooking a potential goldmine. This valuable data is crucial to creating a successful IT strategy. But where do you start? This new...
Provided by Citrix Online
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Whitepapers
Best Practices for Translating Customer Satisfaction into Revenue
Nov 2009
Today's support organisations are focused on two top-level metrics: financial results and customer satisfaction. For most, it's easy to track financial performance, but customer satisfaction is...
Provided by Citrix Online
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Whitepapers
Support Strategies: Customer Experience Management
Nov 2009
Customer experience is the most powerful tool available today for distinguishing your company from competitors ? each contact with the customer offers an opportunity for strengthening your...
Provided by Citrix Online
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Research
Optimize your performance with the Smart Work Advisor
Nov 2009
Smart Work Advisor shows how businesses can optimize their performance by providing a decision tree they can use to adapt dynamically, collaborate more effectively and connect people and processes...
Provided by IBM
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White Papers
Designing High Availability for SQL Server 2005
Nov 2009
The end of downtime, period! Job No. 1 for database administrators (DBAs) is making sure that the data they're responsible for is available all the time.That's because for anyone who implements...
Provided by CA XOsoft
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Whitepapers
Open Standards and Cloud Computing KDD-2009 Panel Report
Jul 2009
A panel on open standards and cloud computing addressed emerging trends for data mining applications in science and industry. This paper summarizes the answers from a distinguished group of...
Provided by IBM
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Whitepapers
The Definitive Guide for Midsize Organizations
May 2008
Business intelligence is not a new concept; it's been used for years by IT staffers in large enterprises with the budgets to support it. What's new is the fact that business intelligence tools are...
Provided by SAP
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White Papers
Data Management for Business Intelligence
Mar 2008
As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve...
Provided by SAP
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White Papers
Operational excellence: Enabling sustained growth Spotlight on the Americas
May 2008
The Americas should be a hotbed operational excellence activity. The scientists and businessmen who first applied statistics to process improvement—Deming, Taylor and others—hailed from the United...
Provided by SAP
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White Papers
Expanding BI's role
Dec 2009
In today's economic downturn, organizations are looking for ways to improve the way they do business to keep ahead of the competition and grow revenue. The path to success in all of these areas,...
Provided by SAP
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Webcasts
Delivering a "Wow" Customer Experience
Dec 2009
In today's environment, companies can't just compete on price and product. They must also deliver a great customer experience. Rich Caballero, vice president of product management at Oracle,...
Provided by Oracle
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Whitepapers
The Evolving Role of the Enterprise Data Warehouse in the Era of Big Data Analytics (Ralph Kimball)
Aug 2012
In this white paper, we describe the rapidly evolving landscape for designing an enterprise data warehouse (EDW) to support business analytics in the era of "big data." We describe the scope and...
Provided by Cloudera
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Whitepapers
Performance Analysis of Datagram Congestion Control Protocol (DCCP)
Oct 2011
Applications like streaming audio, Internet telephony and multi-player online games prefer timeliness in packet delivery to reliability. TCP's reliability through packet retransmission and abrupt...
Provided by International Journal of Computer Theory and Engineering (IJCTE)
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Whitepapers
Data Mining Ethics in Privacy Preservation - A Survey
Aug 2011
When most people think of ethics or morality, it refers to well-defined standards of right and wrong, usually in terms of rights, obligations, and benefits to society, fairness, or specific...
Provided by International Journal of Computer Theory and Engineering (IJCTE)
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Whitepapers
Using a Cellular Automaton to Extract Medical Information From Clinical Reports
Mar 2012
An important amount of clinical data concerning the medical history of a patient is in the form of clinical reports that are written by doctors. The authors describe patients, their pathologies,...
Provided by KIPS
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Whitepapers
Mining Closed Frequent Intervals From Interval Data
Jun 2012
Interval data is widely encountered in several areas of data mining applications. In the context of discovering interesting temporal patterns in interval data, the notion of closed frequent...
Provided by Kurukshetra University
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Downloads
Try IBM Cognos Express FREE for 30 days for integrated reporting, analysis & planning
Dec 2009
Download a free trial of IBM Cognos Express, the first and only integrated business intelligence (BI) and planning solution purpose-built for midsize companies. Get essential reporting, analysis,...
Provided by IBM
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Whitepapers
Sole-sourcing BI from your ERP vendor: IT convenience or strategic business decision?
Jul 2009
During the last several years, the pressure of commoditization and the desire of the enterprise technology conglomerates to expand into new fast-growing growth markets have led to BI market...
Provided by IBM
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Whitepapers
Ready or not, here comes the cloud
Oct 2009
Clouds do many things well, but fixing performance problems isn't one of them. For that you need a world-class application server. Learn how application delivery problems continue to frustrate IT...
Provided by Oracle
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Whitepapers
Finding Representative Association Rules From Large Rule Collections
Jan 2009
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing data-mining methods can...
Provided by IBM
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Case Studies
Grocery Retailer Uses Business Intelligence to Strengthen Supplier Negotiations
Dec 2009
Grocery retailer Waitrose needed a more efficient business intelligence solution to support buyers' daily decisions. It designed a solution based on Microsoft technologies, which pulls reporting...
Provided by Microsoft
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Case Studies
Rizzoli Orthopaedic Institute Looks for Genetic Insights in the Family Tree
Nov 2009
Italy's Rizzoli Orthopaedic Institute sought stronger tools to study the genetic underpinnings of rare hereditary bone diseases. Rizzoli engaged IBM Research to develop a first-of-a-kind pedigree...
Provided by IBM
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Case Studies
Farmaceuticos Maypo S.A. de C.V. Improves Data Analysis and Information Services to Client Labs
Nov 2009
Farmaceuticos Maypo S.A. de C.V. wanted to consolidate internal information and information of affiliated laboratories to provide a total view of data, and accelerate availability of reliable,...
Provided by Oracle
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White Papers
Performance Improvement of Model Building in Oracle 11.1 Data Mining
May 2008
For many successful enterprises, data mining applications drive business initiative and generate revenue opportunities. The performance of data mining applications directly impacts their bottom...
Provided by Oracle
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White Papers
Advanced Data Mining and Integration Research for Europe ADMIRE White Paper: Motivation, Strategy, Overview and Impact Version 0.8 (draft)
Oct 2008
The rapidly growing wealth, complexity and diversity of data open many new opportunities in business, research, design, policy formulation and decision making. These opportunities will not be...
Provided by University of Edinburgh
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White Papers
Peer to Peer Botnet Detection for Cyber-Security: A Data Mining Approach
May 2008
Botnet is a network of compromised hosts or bots, under the control of a human attacker known as the botmaster. Botnets are used to perform malicious actions, such as launching DDoS attacks,...
Provided by Association for Computing Machinery
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White Papers
ShatterPlots: Fast Tool for Mining Large Graphs
Dec 2008
Graphs appear in several settings, like social networks, recommendation systems, and numerous more. A deep, recurring question is "How do real graphs look like?" That is, how can one separate real...
Provided by Carnegie Mellon University
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White Papers
Estimating the Socio-Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
Sep 2008
This paper is the first study that integrates econometric, text mining, and predictive modeling techniques toward a more complete analysis of the information captured by user-generated online...
Provided by New York University
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White Papers
KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems
Nov 2007
This paper introduces a software tool named KEEL, which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification,...
Provided by University of Granada
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White Papers
The Controversies Over Data Mining and Warrantless Searches in the Wake of September 11
Mar 2008
In 2004, the Congress voted to end funding for a Defense Advanced Research Projects Agency (DARPA) data mining program called Total Information Awareness (TIA) that was supposed to be used for...
Provided by Indiana University
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White Papers
Visual Mining of Multimedia Data for Social and Behavioral Studies
Mar 2008
This paper proposes a new framework of visual mining of multimedia data. The key idea is to integrate data visualization and data mining. Based on this idea, it has developed a prototype system...
Provided by Indiana University
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White Papers
Time Series Shapelets: A New Primitive for Data Mining
Jul 2009
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm is very difficult...
Provided by Association for Computing Machinery
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White Papers
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
Aug 2008
Computing global data mining models e.g. decision trees; kmeans clustering in large distributed systems may be very costly due to the scale of the system and due to communication cost, which may...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Mining Concept-Drifting Data Stream to Detect Peer to Peer Botnet Traffic
Mar 2008
It proposes a novel stream data classification technique to detect Peer to Peer botnet. Botnet traffic can be considered as stream data having two important properties: infinite length and...
Provided by Association for Computing Machinery
