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![Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli, Nitin Patel, Peter Bruce](https://558130.bdp32.group/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCRmFSdFFRPSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--bb30ce1209dc329d993b82c29396bf85d6b628f6/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RkhKbGMybDZaVjkwYjE5c2FXMXBkRnNIYVFJc0FXa0M5QUU9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--038335c90cf75c275ae4d36968ac417dc4a0a3e3/Data%20Mining%20for%20Business%20Intelligence-%20Concepts,%20Techniques,%20and%20Applications%20in%20Microsoft%20Office%20Excel%20with%20XLMiner.jpg)
404 pages • first pub 2006 (editions)
ISBN/UID: 9780470526828
Format: Hardcover
Language: English
Publisher: John Wiley & Sons
Publication date: 11 December 2006
Description
Three new chapters on time series forecasting, introducing popular business forecasting methods including moving average, exponential smoothing methods; regression-based models; and topics such as explanatory vs. predictive modeling, two-level m...
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![Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli, Nitin Patel, Peter Bruce](https://558130.bdp32.group/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCRmFSdFFRPSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--bb30ce1209dc329d993b82c29396bf85d6b628f6/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RkhKbGMybDZaVjkwYjE5c2FXMXBkRnNIYVFJc0FXa0M5QUU9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--038335c90cf75c275ae4d36968ac417dc4a0a3e3/Data%20Mining%20for%20Business%20Intelligence-%20Concepts,%20Techniques,%20and%20Applications%20in%20Microsoft%20Office%20Excel%20with%20XLMiner.jpg)
404 pages • first pub 2006 (editions)
ISBN/UID: 9780470526828
Format: Hardcover
Language: English
Publisher: John Wiley & Sons
Publication date: 11 December 2006
Description
Three new chapters on time series forecasting, introducing popular business forecasting methods including moving average, exponential smoothing methods; regression-based models; and topics such as explanatory vs. predictive modeling, two-level m...