Introduction to data mining/ Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
Publication details: New York: Pearson, 2019Edition: 2nd edDescription: 859 p. : ill. ; 25 cmISBN: 9780273769224Subject(s): Data mining | Database management | Knowledge acquisition | DatabasesDDC classification: 006.312
Contents:
1 Introduction
2 Data
3 Classification: Basic Concepts and Techniques
4 Association Analysis: Basic Concepts and Algorithms
5 Cluster Analysis: Basic Concepts and Algorithms
6 Classification: Alternative Techniques
7 Association Analysis: Advanced Concepts
8 Cluster Analysis: Additional Issues and Algorithms
9 Anomaly Detection
10 Avoiding False Discoveries
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
General Books | Central Library, Sikkim University General Book Section | 006.312 TAN/I (Browse shelf(Opens below)) | Available | 48848 |
Total holds: 0
Browsing Central Library, Sikkim University shelves, Shelving location: General Book Section Close shelf browser (Hides shelf browser)
006.312 PUD/D Data mining / | 006.312 PUD/D Data mining / | 006.312 PUD/D Data mining / | 006.312 TAN/I Introduction to data mining/ | 006.312 WIC/R R for data science: import, tidy, transform, visualize, and model data/ | 006.312 WIL/D Data science & big data analytics: discovering, analyzing, visualizing and presenting data / | 006.3122 HAS/E The Elements of Statistical Learning: Data Mining, Inference, and Prediction |
1 Introduction
2 Data
3 Classification: Basic Concepts and Techniques
4 Association Analysis: Basic Concepts and Algorithms
5 Cluster Analysis: Basic Concepts and Algorithms
6 Classification: Alternative Techniques
7 Association Analysis: Advanced Concepts
8 Cluster Analysis: Additional Issues and Algorithms
9 Anomaly Detection
10 Avoiding False Discoveries
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