Introduction to data mining /
Tan, Pang-Ning.
Introduction to data mining / - Second edition, global edition. - 859 pages : illustrations ; 24 cm
Includes bibliographical references and indexes.
Introduction - Data - Classification: Basic Concepts and Techniques - Association Analysis: Basic Concepts and Algorithms - Cluster Analysis: Basic Concepts and Algorithms - Classification: Alternative Techniques - Association Analysis: Advanced Concepts - Cluster Analysis: Additional Issues and Algorithms - Anomaly Detection - Avoiding False Discoveries - Author Index - Subject Index - Copyright Permissions.
Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
9780273769224
Data mining.
Artificial intelligence
Machine learning
006.312 / TAN
Introduction to data mining / - Second edition, global edition. - 859 pages : illustrations ; 24 cm
Includes bibliographical references and indexes.
Introduction - Data - Classification: Basic Concepts and Techniques - Association Analysis: Basic Concepts and Algorithms - Cluster Analysis: Basic Concepts and Algorithms - Classification: Alternative Techniques - Association Analysis: Advanced Concepts - Cluster Analysis: Additional Issues and Algorithms - Anomaly Detection - Avoiding False Discoveries - Author Index - Subject Index - Copyright Permissions.
Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
9780273769224
Data mining.
Artificial intelligence
Machine learning
006.312 / TAN