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Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition. 2019 ed.
・ISBN 978-3-030-24712-6 paper EUR 49.99
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| 著者・編者 | Murty, M.N. / Biswas, Anirban, |
|---|---|
| シリーズ | (SpringerBriefs in Intelligent Systems) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2019 |
| ページ数 | 94 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-49687> |
解説
The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.
The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.