Data Mining
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology i...
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| Format: | Book Chapter |
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IntechOpen
2018
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01997naaaa2200301uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_44551 | ||
| 005 | 20210211 | ||
| 020 | |a intechopen.71371 | ||
| 020 | |a 9781789235968 | ||
| 020 | |a 9781789235975 | ||
| 024 | 7 | |a 10.5772/intechopen.71371 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Ciza Thomas |4 auth | |
| 245 | 1 | 0 | |a Data Mining |
| 260 | |b IntechOpen |c 2018 | ||
| 300 | |a 1 electronic resource (190 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications. | ||
| 540 | |a All rights reserved |4 http://oapen.org/content/about-rights | ||
| 546 | |a English | ||
| 653 | |a Physical Sciences | ||
| 653 | |a Engineering and Technology | ||
| 653 | |a Computer and Information Science | ||
| 653 | |a Machine Learning and Data Mining | ||
| 653 | |a Numerical Analysis and Scientific Computing | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.intechopen.com/books/data-mining |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/44551 |7 0 |z DOAB: description of the publication |