News at Smith


Sep 01, 2007


Galit Shmueli, associate professor of management science and statistics, is co-author of Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, with Nitin R. Patel and Peter C. Bruce.

The book’s content grew out of a data mining course taught by Patel at MIT’s Sloan School of Management and subsequently refined while being taught by Shmueli at the Smith School. The book provides a theoretical and practical understanding of the key methods of classification, prediction and data exploration that are at the heart of data mining. It provides a business decision making context for these methods, and uses real business cases and data to illustrate their application and interpretation. The presentation in the book is structured so that the reader can follow along and implement the algorithms on his or her own with a very low learning hurdle

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