Three perspectives of data mining

最新推荐文章于 2025-12-28 16:49:38 发布

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#statistics #database #books #tools #java

本文介绍了三本从不同视角探讨数据挖掘的书籍：《数据挖掘：概念与技术》从数据库角度出发；《数据挖掘：实用机器学习工具和技术（Java实现）》侧重于机器学习；而《数据挖掘原理》则主要采用统计学观点。

three recent books on data mining written from three different perspectives, i.e.databases, machine learning, and statistics.

The first one, J. Han and M. Kamber’s Data Mining: Concepts and Techniques (Morgan Kaufmann,2001) ,as the authors admitted: “we present the material in this book from a database perspective”, was written from a database perspective. The second one, I. H. Witten and E. Frank’s Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (Morgan Kaufmann, 2000), as the title of the book suggests, was obviously written from a machine learning perspective. Finally,Principles of Data Mining (MIT Press, 2001) by D. Hand, H. Mannila, and P. Smyth, was written from the statistics perspective, as the authors said: “we take a fairly strong statistical view of data mining in this text”.

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