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Cover of Data Mining Methods & Models

Data Mining Methods & Models

(Paperback)

Daniel T Larose,

Wiley India Pvt Ltd (Publisher)

Published
2006
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This book provides in introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis. It presents a unified approach based on CRISP methodology (involves Strategic Risk Assessment based on Organizational Modelling).

About the Author

Daniel T. Larose received his PhD in statistics from the University of Connecticut. Currently he is an associate professor of statistics in the Department of Mathematical Sciences, and Director of Data Mining@CCSU, at Central Connecticut State University. He has also worked in the areas of biostatistics, statistics, and data management at Bristol-Myers Squibb Pharmaceutical Research Center, Wesleyan University, and United Technologies Corporation. He was written and contributed work to two books, and published 9 articles, on the topic of data mining and statistics.

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