Managing and Mining Graph Data:Auflage 2010
Individual and Collective Graph Mining:Principles, Algorithms, and Applications Danai Koutra, Christos Faloutsos
Graph Mining:Laws, Tools, and Case Studies Morgan & Claypool Publishers Deepayan Chakrabarti, Christos Faloutsos
Graph-theoretic Techniques For Web Content Mining: Adam Schenker, Horst Bunke, Mark Last
This book constitutes the proceedings of the 15th International Workshop on Algorithms and Models for the Web Graph, WAW 2018, held in Moscow, Russia in May 2018. The 11 full papers presented in this volume were carefully reviewed and selected from various submissions. The papers focus on topics like the information retrieval and data mining on the Web; Web as a text repository and as a graph, induced in various ways by link among pages, hosts and users; the understanding of graphs that arise from the Web and various user activities on the Web; stimulation of the development of high-performance algorithms and applications that exploit these graphs.
Data mining for performance of vegetative filter strips:A comparison between prediction models : artificial neural networks (back propagation & radial basis function) vs. GRAPH Sanyogita Andriyas