Front Matter

ABOUT THE AUTHOR

Since his days of collecting baseball cards as a youngster and scrutinizing the statistics of his favorite players, Dan Larose has loved statistics. He also loved language and writing, so when Dan went to college, he majored in French, then philosophy, and finally, in linguistics and computer science. This background in the liberal arts honed his writing ability. However, his love of statistics never left him, so he went on to earn an M.S. (1993) and a Ph.D. in statistics (1996) from the University of Connecticut. Today, Dan is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University (CCSU).

At CCSU, Dan developed and now directs the world's first online Master of Science degree and Graduate Certificate program in data mining. He has published four books on data mining and predictive analysis and one book on SAS programming.

These books include:

Discovering Knowledge in Data: An Introduction to Data Mining, Second Edition
Data Mining Methods and Models
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Data Mining and Predictive Analytics, Second Edition

Discovering Knowledge in Data and Data Mining and Predictive Analytics are co-authored with his daughter Chantal Larose, who received her Ph.D. in Statistics from the University of Connecticut in 2015 and is an Assistant Professor of Decision Science and Statistics in the School of Business at the State University of New York at New Paltz.

Dan is the founder of DataMiningConsultant.com, and his consulting clients include The Economist magazine; Microsoft; Forbes magazine; the CIT Group; KPMG International; Computer Associates; Deloitte, Inc.; Sonalysts, Inc.; Booz Allen Hamilton; and the Hospital for Special Care. His consulting work includes a $750,000 Phase II grant from the Air Force Office of Research, Storage-Efficient Data Mining of High-Speed Data Streams. He is the series editor for the Wiley series on Methods and Applications in Data Mining.

However, his favorite work is imparting a love of statistics to a new generation, just as he did with his daughter Chantal, and he trusts that Discovering Statistics will help to do so for students around the country. Dan lives in Tolland, Connecticut, with his wife and children.

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