Introduction to data mining
Material type: 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."Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Book | Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 006.312 TAN (Browse shelf(Opens below)) | 1 | Available | 002322 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)
006.312 KUM Knowledge engineering | 006.312 MAH Introduction to data science: | 006.312 MOR Be data literate: | 006.312 TAN Introduction to data mining | 006.312 ZAF Social media mining: an introduction | 006.312 ZAK Data mining and machine learning: | 006.312 ZHA A tour of data science: |
"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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