Graph Mining: Practical Uses and Instruments for Exploring Complex Networks -
-35% ar kodu BOOKS
Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
Graph Mining: Power Laws and Graph Queries.- Frequent Subgraphs Mining.- Analyzing and Predicting Links in Graph-Based Data.- Node Similarity and Classification.- Graph Classification.- Graph Clustering.- Overlapping and Non-overlapping Communities.- Anomaly Detection.- Graph Summarization.- Knowledge Graph Processing.- Role of Deep Learning in Graph Mining.- Graph Convolutional Network (GCN).
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Aprašymas
Graph Mining: Power Laws and Graph Queries.- Frequent Subgraphs Mining.- Analyzing and Predicting Links in Graph-Based Data.- Node Similarity and Classification.- Graph Classification.- Graph Clustering.- Overlapping and Non-overlapping Communities.- Anomaly Detection.- Graph Summarization.- Knowledge Graph Processing.- Role of Deep Learning in Graph Mining.- Graph Convolutional Network (GCN).
Vairāk informācijas
| Izdevējs | Springer |
|---|---|
| Izlaides gads | 2025 |
| Vāka tips | Cietais vāks |
| EAN | 9783031938016 |