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Data Mining Using MLC++ — A Machine Learning Library In C++
White Papers Data mining algorithms including machine learning, statistical analysis, and pattern recognition techniques can greatly improve our understanding of data warehouses that are now becoming more widespread.
[February 1, 2004, 23:00]
TechNet Webcast: 24 Hours Of SQL Server 2008: Data Mining (Level 200)
White Papers Contoso wants to implement data mining to help the sales department better understand its customer base and forecast future sales based on historical trends. This webcast review the data mining capabilities of the Microsoft Business Intelligence...
[August 4, 2008, 0:00]
Data Mining And Document Mining
White Papers Data mining is the process of extracting previously unknown information from large databases or data warehouses and using it to make crucial business decisions. Data mining tools find patterns in the data and infer rules from them.
[August 14, 2003, 0:00]
Information Policy, Data Mining, And National Security: False Positives And Unidentified Negatives
White Papers Since 9/11, intelligence agencies in the United States have expanded experimentation and use of data mining and analysis techniques to combat terrorism. This paper argues that while privacy discussions are important, they should be framed within a...
[April 5, 2005, 3:00]
Data Mining: An Overview
White Papers Data mining is emerging as 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 of data analysis tools to discover previously...
[April 5, 2005, 3:00]
Data Mining In Drug Discovery - Uncovering Hidden Opportunities With SAS Scientific Discovery Solutions And Enterprise Miner
White Papers This white paper describes the value of data mining in the drug discovery process and about the key components of a bioinformatics framework for drug discovery as well as valuable ways to apply data mining to the discovery process.
[July 19, 2003, 19:21]
Data Mining And Decision Support For Operational Problems Solutions In The Railroad Industry
White Papers This paper describes the data mining process to identify crucial factors for an unstructured problem, like Yard Elapsed Time (YET) reduction and usage of the identified factors in decision making. Reliable crucial factors can be obtained through...
[December 13, 2006, 0:00]
Data Mining Analytics For Business Intelligence And Decision Support
White Papers Knowledge Discovery and Data Mining (KDD) techniques are used for analyzing and discovering actionable insights from data. Today, data mining is being increasingly used and embedded in vertical solutions for business intelligence and decision...
[September 1, 2004, 3:00]
What’s Next In Monitoring Technology? - Data Mining Finds A Calling In Call Centers
White Papers We'll show how a powerful new monitoring technology - that combines a customer-centric design and advanced data mining tools - promises to bridge this customer experience information gap for call centers, and offer exponentially greater returns in...
[January 20, 2004, 21:45]
Data Mining With Clementine For Smarter Retailing
White Papers Data mining is the key for taking advantage of these new opportunities it enables organizations to understand and predict customer behavior. This paper highlights data mining myths and truths, offers common retailing applications and explores...
[August 14, 2003, 0:00]
Performance Management - Making It Work, Part 4: Data Mining To Support Performance Management With Analytical Intelligence
White Papers This paper describes how information technologies, namely data warehousing; data mining with their powerful Extraction, Transform, and Load (ETL) features, and business analytics (e.g.statistics, forecasting, and optimization) all produce data...
[August 10, 2006, 0:00]
Data Mining Techniques For Detecting Fraud, Waste And Abuse
White Papers These agencies can identify wasteful activity by mining their existing data. This paper reviews a number of data mining approaches for detecting transactional/billing fraud, waste and abuse. Every government agency that exchanges money with...
[September 1, 2005, 3:00]
Data Mining Techniques For (Network) Intrusion Detection Systems
White Papers This paper mostly focused on data mining techniques that are being used for such purposes. Finally the paper presents a new idea on how data mining can aid IDSs. In Information Security, intrusion detection is the act of detecting actions that...
[June 18, 2008, 1:01]
Data Mining: An E-commerce Revolution? Pt II
News Few data-mining companies are willing to discuss real-world examples of how the craft has boosted sales or customers. But Usama Fayyad, a former Microsoft executive, who left the company to create Kirkland, Washington-based DigiMine, said he used...
[February 8, 2001, 11:53]
Data Mining Applications In Higher Education
White Papers Institutions can data mining's predictive analysis to address these challenges. This white paper details how data mining conserves resources while maximizing efficiency, and increases productivity without increasing cost.
[July 19, 2003, 19:25]
Data Mining For Network Intrusion Detection System In Real Time
White Papers This paper present a data mining-based Network Intrusion Detection framework in real time (NIDS). To improve efficiency, the approach adopts a novel FP-tree structure and FP-growth mining method to extract features based on FP-tree without...
[May 31, 2008, 1:01]
EU Project: Data Mining And Decision Support For Business Competitiveness - A European Virtual Enterprise (Sol-Eu-Net)
White Papers This paper defines the mission of this European project to spread the use of technologies of Data Mining (DM) and Decision Support (DS) to enhance efficiency, effectiveness and quality of operations in business, industry and public services.
[April 26, 2006, 0:00]
Data Mining Approach For Analyzing Call Center Performance
White Papers The aim of the research explain in this paper was to apply well-known data mining techniques (such as linear neural networks, probabilistic neural networks, support vector machines and finally a hybrid decision tree - neural network approach) to...
[July 25, 2006, 3:16]
Data Mining Approaches For Intrusion Detection
White Papers The key ideas are to use data mining techniques to discover consistent and useful patterns of system features that describe program and user behavior, and use the set of relevant system features to compute (inductively learned) classifiers that...
[August 14, 2003, 0:00]
Data Mining And CRM
White Papers Data mining, data exploration and knowledge discovery are all terms that create an image of the demanding and sometimes tedious search to uncover insights that are neither obvious to competitors nor easy for competitors to duplicate.
[July 20, 2006, 0:00]
