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Tan, Pang
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Introduction to data mining (2nd ed.)
Tan P., Steinbach M., Karpatne A., Kumar V., Pearson, New York, NY, 2018. 864 pp. Type: Book (978-0-133128-90-1)
The first edition of this book, published in 2006 [1], was probably the best introductory textbook on data mining available. A dozen years later, the field has evolved to become mainstream under the commercial denomination of ̶...
...
Jan 2 2019
Introduction to data mining, (first edition)
Tan P., Steinbach M., Kumar V. (ed), Addison-Wesley Longman Publishing Co, Inc., Boston, MA, 2005. Type: Book (9780321321367)
Data mining is the science of extracting meaningful knowledge and structures from large volumes of data. This process is an essential component in modern marketing, business decision support, medical research, and computer security rel...
...
Feb 6 2006
Selecting the right objective measure for association analysis
Tan P., Kumar V. (ed), Srivastava J. Information Systems 29(4): 293-313, 2004. Type: Article
The quality of an association pattern can be evaluated using many different measures, such as confidence, support, and interest. This makes it difficult to select the appropriate measure for a particular application. In this paper, the...
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Mar 9 2005
Selecting the right interestingness measure for association patterns
Tan P., Kumar V. (ed), Srivastava J. Knowledge discovery and data mining (Proceedings of the eighth ACM SIGKDD international conference, Edmonton, Alberta, Canada, Jul 23-26, 2002) 32-41, 2002. Type: Proceedings
Tan, Kumar, and Srivastava describe a theoretical and experimental investigation of measures for association patterns. The authors survey a large number of such measures that have been developed by the statistics, machine learning, and...
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Dec 9 2003
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