Introduction to data mining

By: Tan, Pang-Ning Contributor(s): Steinbach, Michael | Kumar, Vipin Material type: Text

TextPublication details: New Delhi Pearson India Education Services Pvt. Ltd. 2022 Edition: 2ndDescription: 856 pISBN: 9789354491047Subject(s): Data mining | Database managementDDC classification: 006.312 Summary: "As with the first edition, the second edition of the book provides a comprehensive introduction to data mining and is designed to be accessible and useful to students, instructors, researchers, and professionals. Areas covered include data preprocessing, predictive modeling, association analysis, cluster analysis, anomaly detection, and avoiding false discoveries. The goal is to present fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems."

List(s) this item appears in: IT & Decision Sciences | Marketing

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.312 TAN (Browse shelf(Opens below))	1	Available		002322

"As with the first edition, the second edition of the book provides
a comprehensive introduction to data mining and is designed to be accessible and useful to students, instructors, researchers, and professionals. Areas
covered include data preprocessing, predictive modeling, association analysis,
cluster analysis, anomaly detection, and avoiding false discoveries. The goal is
to present fundamental concepts and algorithms for each topic, thus providing
the reader with the necessary background for the application of data mining
to real problems."

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