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Individual and Collective Graph Mining: Principles, Algorithms, and Applications - Synthesis Lectures on Data Mining and Knowledge Discovery Danai Koutra
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2017. gada 26. oktobris |
| ISBN13 | 9781681730394 |
| Izdevēji | Morgan & Claypool Publishers |
| Lapas | 206 |
| Izmēri | 150 × 220 × 10 mm · 367 g |
| Valoda | Angļu |
| Sērijas redaktors | Gehrke, Johannes |
| Sērijas redaktors | Getoor, Lise |
| Sērijas redaktors | Han, Jiawei |
| Sērijas redaktors | Wang, Wei |
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