Data classification algorithms and applications
This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categ...
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| Other Authors: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
CRC Press, Taylor & Francis Group
2015
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
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| Subjects: | |
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| Summary: | This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categorical data, network data, data streams and uncertain data: and different variations of the classification problem such as ensemble methods, visual methods, transfer learning, semi-supervised methods and active learning. These advanced methods can be used to enhance the quality of the underlying classification results. |
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| Item Description: | "A Chapman & Hall book." |
| Physical Description: | xxvii, 671 pages illustrations (some color) 26 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781466586741 (hardback) 1466586745 (hardback) |