000			01815 a2200265 4500
999			_c2930 _d2930
005			20250327100445.0
008			250327b ||||| |||| 00| 0 eng d
020			_a9780128117606
041			_aeng
082			_a006.312 HAN/D
100			_aHan, Jiawei _912615
100			_aPei, Jian _912616
100			_aTong, Hanghang _912617
245			_aData mining: concepts and techniques
250			_a4th ed.
260			_bKaufmann -- _c2023 _aUnited States of America --
300			_axxix, 752p.
520			_aThis book provides the theories and methods for processing data or information used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets. After describing data mining, the authors explain the methods of knowing, preprocessing, processing and warehousing data. They then present information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. Users from computer science students, application developers, business professionals, and researchers who seek information on data mining will find this resource very helpful.
650			_aComputer science _91296
650			_aData mining _91647
650			_aProgramming _94827
650			_aMachine learning _91055
650			_aAlgorithms _9981
942			_cBK