September 1, 2007

Books

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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The Robert H. Smith School of Business is an internationally recognized leader in management education and research. One of 12 colleges and schools at the University of Maryland, College Park, the Smith School offers undergraduate, full-time and flex MBA, executive MBA, online MBA, business master’s, PhD and executive education programs, as well as outreach services to the corporate community. The school offers its degree, custom and certification programs in learning locations in North America and Asia.

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