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Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases.
Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases.
Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Covers Text Embedded with Heterogeneous and Multimedia Data
All chapters contain a comprehensive survey including the key research content on the topic, and the future directions of research in the field
This book simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from it
Includes supplementary material: [...]
| Erscheinungsjahr: | 2012 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xii
524 S. |
| ISBN-13: | 9781461432227 |
| ISBN-10: | 1461432227 |
| Sprache: | Englisch |
| Herstellernummer: | 80029013 |
| Einband: | Gebunden |
| Redaktion: |
Zhai, Chengxiang
Aggarwal, Charu C. |
| Herausgeber: | Charu C Aggarwal/ChengXiang Zhai |
| Hersteller: |
Springer US
Springer New York |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 34 mm |
| Von/Mit: | Chengxiang Zhai (u. a.) |
| Erscheinungsdatum: | 03.02.2012 |
| Gewicht: | 0,963 kg |
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