Data Mining Concepts, Models, Methods, and Algorithms
The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. A...
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, New Jersey
Wiley-IEEE Press
2020
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| Edition: | Third Edition |
| Subjects: | |
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| Call Number : | QA 76.9.D343 K36 2020 |
MARC
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| 003 | MY-KLNDU | ||
| 005 | 20241219044607.0 | ||
| 008 | 221104 20202020xxua b 001 0 eng d | ||
| 020 | |a 9781119516040 (hbk) | ||
| 039 | 9 | |a 202211041255 |b VLOAD |c 202111121101 |d rafizah |y 202105060809 |z dewi | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a QA 76.9.D343 |b K36 2020 | ||
| 100 | 1 | |a Kantardzic, Mehmed |e author | |
| 245 | 1 | 0 | |a Data Mining |b Concepts, Models, Methods, and Algorithms |c Mehmed Kantardzic |
| 250 | |a Third Edition | ||
| 264 | 1 | |a Hoboken, New Jersey |b Wiley-IEEE Press |c 2020 | |
| 264 | 4 | |c © 2020 | |
| 300 | |a xix, 639 pages |b illustrations |c 24 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Data-Mining Concepts -- Preparing the Data -- Data Reduction -- Learning from Data -- Statistical Methods -- Decision Trees and Decision Rules -- Artificial Neural Networks -- Ensemble Learning -- Cluster Analysis -- Association Rules -- Web Mining and Text Mining -- Advances in Data Mining -- Genetic Algorithms -- Fuzzy sets and Fuzzy Logic -- Visualization Methods -- Appendix A -- Appendix B: Data-Mining Applications | |
| 520 | |a The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author - a noted expert on the topic - explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter. | ||
| 592 | |a 0118/HL/2021 |b 13/9/2021 |c RM 580.00 |h Han Lin Books | ||
| 650 | 0 | |a Data mining | |
| 999 | |a vtls000099863 |c 88824 |d 88824 | ||


