Data Mining Tools in Action
Fler böcker inom
Mixed media product
Antal sidor
John Wiley & Sons Inc
Antal komponenter
Contains Paperback and CD-ROM

Data Mining Tools in Action

Methods and Tools for Solving Real-World Problems

Mixed media product, Engelska, 1998-08-01
Cutting--edge data mining techniques and tools for solving your toughest analytical problems Data Mining Solutions In down--to--earth language, data mining experts Christopher Westphal and Teresa Blaxton introduce a brand new approach to data mining analysis. Through their extensive real--world experience, they have developed and documented many practical and proven techniques to make your own data mining efforts more successful. You'll get a refreshing "out--of--the--box" approach to data mining that will help you maximize your time and problem--solving resources, and prepare for the next wave of data mining--visualization. You will read about ways in which data mining has been used to: Discover patterns of insider trading in the stock market Evaluate the utility of marketing campaigns Analyze retail sales patterns across geographic regions Identify money laundering operations Target DNA sequences for pharmaceutical testing and development The book is accompanied by a CD--ROM that contains: Demo and trial versions of numerous visual data mining tools Active web--page links for each of the products profiled GIF files corresponding to all book images
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CHRISTOPHER WESTPHAL has been successfully performing visual data mining engagements and research for over a decade for both government and commercial interests. He has developed a wide range of methodologies and unique techniques to support the data mining process. He may be reached at chris TERESA BLAXTON is an Associate Professor of Psychiatry in the University of Maryland School of Medicine. She has published over 100 articles on knowledge storage, representation, and retrieval, both in biological (human) and artificial (computer) systems. She may be reached at


DEFINING THE DATA MINING APPROACH. What is Data Mining? Understanding Data Modeling. Defining the Problems to be Solved. DATA PREPARATION AND ANALYSIS. Accessing and Preparing the Data. Visual Methods for Analyzing Data. Nonvisual Analytical Methods. ASSESSING DATA MINING TOOLS AND TECHNOLOGIES. Link Analysis Tools. Landscape Visualization Tools. Quantitative Data Mining Tools. Future Trends in Visual Data Mining. CASE STUDIES. Mapping the Human Genome. Telecommunication Services. Banking and Finance. Retail Data Mining. Financial Market Data Mining. Money Laundering and Other Financial Crimes. Appendix. What's on the CD--ROM. Index.