Data mining: concepts and techniques (Record no. 2930)
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000 -LEADER | |
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fixed length control field | 01815 a2200265 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250327100445.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250327b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780128117606 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.312 HAN/D |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Han, Jiawei |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Pei, Jian |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Tong, Hanghang |
245 ## - TITLE STATEMENT | |
Title | Data mining: concepts and techniques |
250 ## - EDITION STATEMENT | |
Edition statement | 4th ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher | Kaufmann -- |
Year of publication | 2023 |
Place of publication | United States of America -- |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xxix, 752p. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer science |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data mining |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Programming |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Machine learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Algorithms |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Accession Number | Koha item type | Collection code |
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Central Library | Central Library | General Stack (Sahyadri Campus) | 2025-04-04 | 006.312 HAN/D | 08731 | Book | ||||
Central Library | Central Library | General Stack (Sahyadri Campus) | 2025-04-04 | 006.312 HAN/D | 08729 | Book | ||||
Central Library | Central Library | General Stack (Sahyadri Campus) | 2025-04-04 | 006.312 HAN/D | 08728 | Book | ||||
Central Library | Central Library | General Stack (Sahyadri Campus) | 2025-04-04 | 006.312 HAN/D | 08730 | Book | ||||
Central Library | Central Library | Reference (Sahyadri Campus) | 2025-04-04 | 006.312 HAN/D | 08727 | Reference | Reference |