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Introduction To Data Mining, 2e

Original price was: ₹955.00.Current price is: ₹481.00.

  • BOOK CONDITION: USED – LIKE NEW
  • Expanded coverage of crucial statistical concepts like p-values and false discovery rates to ensure valid and reproducible results.
  • Enhanced classification chapters delve deeper into overfitting, underfitting, and other model selection pitfalls.
  • Advanced classification methods are extensively updated, including Bayesian networks, support vector machines, artificial neural networks, and deep networks.
  • Anomaly detection is significantly improved with new reconstruction-based and information-theoretic methods, using autoencoder networks as examples.
  • Updated association analysis, clustering techniques (including spectral graph clustering), and the data chapter now incorporates mutual information and kernel-based methods.

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SKU: 9789354491047 Category:

Description

Buy Introduction To Data Mining, 2e Used Books Online, Authored by pang-ning tan michael steinbach anuj karpatne vipin kumar, Pearson in paperback binding from Used Book Store.

The second edition includes a new chapter on avoiding false discoveries and producing valid results, a novel addition among data mining textbooks. This chapter addresses concerns about result validity and reproducibility by covering statistical concepts like p-values and false discovery rate, and illustrating them within data mining techniques. Significant improvements have been made to the classification chapters, expanding discussions on overfitting, underfitting, training size, model complexity, model selection, and model evaluation pitfalls. The advanced classification chapter has been extensively updated, with expanded coverage of Bayesian networks, support vector machines, artificial neural networks, and a new section on deep networks. Anomaly detection has been greatly revised and expanded, including new approaches like reconstruction-based and information-theoretic methods, illustrated using autoencoder networks. The association analysis section has been reworked, including updates to sequence and graph mining. Clustering updates include a new K-means initialization technique, updated cluster evaluation discussions, and a new section on spectral graph clustering. Finally, the data chapter now includes discussions of mutual information and kernel-based techniques.

About the Author

PANG-NING TAN Michigan State University MICHAEL STEINBACH University of Minnesota ANUJ KARPATNE University of Minnesota VIPIN KUMAR University of Minnesota.

Business & Finance
Higher Education Textbooks
9789354491047 ISBN
Pang-ning Tan Michael Steinbach Anuj Karpatne Vipin Kumar Book Author

Additional information

Weight1.02 kg
Language

English

Page Count

850+

Country of Origin

India

Edition/Binding

Paperback

Publisher

Pearson

ISBN

9789354491047

Book Author

Pang-ning Tan Michael Steinbach Anuj Karpatne Vipin Kumar

Book Condition

Used – Like New

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