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Data Mining: An AI Perspective
White Papers Data mining, or Knowledge Discovery in Databases (KDD), is an interdisciplinary area that integrates techniques from several fields including machine learning, statistics, and database systems, for the analysis of large volumes of data.
[September 20, 2008, 0:00]
Data Mining in Telecommunications
White Papers This paper describes how data mining can be used to uncover useful information buried within these data sets. Several data mining applications are described and together they demonstrate that data mining can be used to identify telecommunication...
[September 20, 2008, 0:00]
Data Mining Algorithm for Manufacturing Process Control
White Papers In this paper, a new data mining algorithm based on the rough sets theory is presented for manufacturing process control. Application of the data mining algorithm developed in this paper is illustrated with an industrial example of Rapid Tool...
[October 7, 2008, 0:00]
US gov't report: Data mining is ineffective
News The most extensive US government report to date on whether terrorists can be identified through data mining has concluded that it does not work well. A US National Research Council (NRC) report, years in the making and scheduled to be released on...
[October 8, 2008, 14:59]
Data Mining in the Insurance Industry: Solving Business Problems Using SAS Enterprise Miner Software
White Papers Data mining can be defined as the process of selecting, exploring and modeling large amounts of data to uncover previously unknown patterns. In the insurance industry, data mining can help firms gain business advantage.
[September 2, 2009, 1:22]
Data Mining With Cellular Automata
White Papers This paper explores the use of cellular automata for data mining, specifically for classification tasks. A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells.
[October 1, 2008, 1:01]
Where the Gold Is: Data Mining and Improving the Curriculum in the 21st Century
White Papers This paper focuses on the development of an undergraduate course in Data Mining, also known as Knowledge Discovery in Data (KDD), Exploratory Data Analysis (EDA), and Business Intelligence. With the proliferation of computers and computer...
[October 1, 2008, 1:01]
Data Mining Using Relational Database Management Systems
White Papers Software packages providing a whole set of data mining and machine learning algorithms are attractive because they allow experimentation with many kinds of algorithms in an easy setup. However, these packages are often based on main-memory data...
[October 1, 2008, 1:01]
Online Data Collection & Management - PART 4: Mining Data Captured Through Your Web Site
White Papers In business environments, data mining is used to exploit trends or facts from large volumes of data that will assist companies in making strategic decisions to accelerate progress or gain an advantage.
[May 23, 2009, 1:19]
Data Mining Techniques for Building Fault-Proneness Models in Telecom Java Software
White Papers The main focus of this paper is two-fold: use and compare many data mining and machine learning techniques to build fault-proneness models based mostly on source code measures and change/fault history data, and demonstrate that the usual...
[October 7, 2008, 1:01]
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 and Cryptology
White Papers This paper addresses the issue of mining encrypted data, in order to protect confidential information while permitting knowledge discovery. Common cryptographic algorithms are considered and their robustness against data mining algorithms is...
[October 7, 2008, 1:01]
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: 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 and Bioinformatics
White Papers This paper looks at the use of Data Mining in the domain of Bioinformatics. The broad use of data mining and their applicability in the different areas of bioinformatics are evaluated. Knowledge-discovery techniques are becoming more and more...
[September 20, 2008, 0:00]
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]
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, National Security, Privacy and Civil Liberties
White Papers There has been much interest recently on using data mining for counter-terrorism applications. For example, data mining can be used to detect unusual patterns, terrorist activities and fraudulent behavior.
[September 20, 2008, 0:00]
TechNet Webcast: Data Mining Add-Ins for the 2007 Office System (Level 200)
White Papers Microsoft SQL Server 2005 Analysis Services contains data mining and predictive analytical functionality that makes advanced analytics accessible to a much wider audience than ever before. Now, thanks to a set of add-ins for the 2007 Microsoft...
[September 6, 2008, 1:01]
Data Mining in Social Networks
White Papers Recent research projects in two closely related areas of computer science - machine learning and data mining - have developed methods for constructing statistical models of network data. These algorithms differ from a substantially older and more...
[September 20, 2008, 0:00]
