2007 PriciplesOfDataMining

• (Bramer, 2007) ⇒ Max Bramer. (2007). “Principles of Data Mining.” In: Springer. ISBN:1846287650

Subject Headings: Data Mining Task, Data Mining Algorithm.

Notes

• Table of Contents
  • Introduction to Data Mining. p2
  • Data for Data Mining. p11
  • Naive Bayes and Nearest. p23
  • Using Decision Trees for Classification. p41
  • Using Entropy for Attribute. p51
  • Using Frequency Tables. p65
  • Estimating the Predictive Accuracy of a Classifier. p79
  • Continuous Attributes. p93
  • Measuring the Performance of a Classifier. p173
  • Association Rule Mining I. p187
  • Association Rule Mining II. p203
  • Clustering. p220
  • Text Mining. p239
  • References. p255
  • B Datasets. p273
  • Sources of Further Information. p293

Cited By

~62 http://scholar.google.com/scholar?cites=10490162450688115464

Quotes

Summary

• Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This should prove of value to readers of all kinds, from those whose only use of data mining techniques will be via commercial packages right through to academic researchers. This book aims to help the general reader develop the necessary understanding to use commercial data mining packages discriminatingly, as well as enabling the advanced reader to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 PriciplesOfDataMining	Max Bramer			Principles of Data Mining		Springer	http://books.google.com/books?id=xVW7NslHNHsC			2007