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Individual and Collective Graph Mining: Principles, Algorithms, and Applications - Synthesis Lectures on Data Mining and Knowledge Discovery Danai Koutra
Individual and Collective Graph Mining: Principles, Algorithms, and Applications - Synthesis Lectures on Data Mining and Knowledge Discovery
Danai Koutra
Presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, the book also contribute graph-theoretical ideas and models, and real-world applications in two main areas - Individual Graph Mining and Collective Graph Mining.
206 pages
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2017年10月26日 |
| ISBN13 | 9781681730394 |
| 出版社 | Morgan & Claypool Publishers |
| ページ数 | 206 |
| 寸法 | 150 × 220 × 10 mm · 367 g |
| 言語 | 英語 |
| シリーズ編集者 | Gehrke, Johannes |
| シリーズ編集者 | Getoor, Lise |
| シリーズ編集者 | Han, Jiawei |
| シリーズ編集者 | Wang, Wei |
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