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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. |
