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Tippie Faculty Member Releases Text on Analyzing Big Data

Johannes LedolterJohannes Ledolter, Management Sciences professor at the University of Iowa's Tippie College of Business, has released a new text titled Data Mining and Business Analytics with R. The text, according to publisher John Wiley & Sons, focuses on giving students the processes and tools for collecting and analyzing large quantities of data in order to derive useful insights.

Highlighting underlying concepts and practical computational skills, the book begins with coverage of standard linear regression and the importance of parsimony in
statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; nearest neighbor analysis; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In his text, Ledolter uses R, an open-source software, to guide students through the analysis of "high-dimensional" sets of data.

Ledolter has been with the Tippie faculty since 1978 and holds the C. Maxwell Stanley Professor of International Operations Management. He holds a joint appointment with the Tippie College of Business’ Department of Management Sciences and the University of Iowa's Department of Statistics and Actuarial Science. He is a fellow of the American Statistical Association and the American Society for Quality and an elected member of the International Statistical Institute. He is the coauthor of Statistical Methods for Forecasting, Achieving Quality through Continual Improvement and Statistical Quality Control: Strategies and Tools for Continual Improvement, all published by Wiley.

Information on the book is available at,subjectCd-STB0,descCd-authorInfo.html.

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