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Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 2nd Edition

机译:商业智能数据挖掘:带有XLMiner的Microsoft Office Excel中的概念,技术和应用程序,第二版

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摘要

The second edition of Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner adds three new chapters on time series forecasting and makes a substantial revision to the chapter on data visualization. The first chapter devoted to time series (Chapter 15) focuses on forecasting a single series and provides an introduction to regression-based forecasting and smoothing-based methods. Chapter 16 considers regression-based methods for modeling trend and seasonality, and also discusses autocorrelation and ARIMA models.
机译:带有XLMiner的第二版商业智能数据挖掘:Microsoft Office Excel中的概念,技术和应用程序增加了有关时间序列预测的三章,并对数据可视化这一章进行了实质性修订。第一章专门介绍时间序列(第15章),重点是预测单个序列,并介绍了基于回归的预测和基于平滑的方法。第16章考虑了基于回归的趋势和季节性建模方法,并讨论了自相关和ARIMA模型。

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