Individual and Collective Graph Mining

Individual and Collective Graph Mining:

📁 Individual and Collective Graph Mining: Principles, Algorithms, and Applications

✍ Danai Koutra, Christos Faloutsos, Jiawei Han 📂 Library 📅 2018 🏛 Morgan & Claypool Publishers 🌐 English

Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the mo

Knowledge In Minds: Individual And Colle

📁 Knowledge In Minds: Individual And Collective Processes In Cognition

✍ A. L. Wilkes 📂 Library 📅 1997 🏛 Psychology Press 🌐 English

Many texts in cognitive psychology deal with the details of cognitive processes as individually defined. This text provides an account of cognition that focuses upon the cumulative and share nature of human enterprise. It aims to adopt a balanced approach by considering both theories. The result is

Managing and Mining Graph Data

📁 Managing and Mining Graph Data

✍ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) 📂 Library 📅 2010 🏛 Springer US 🌐 English

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy.

Managing and Mining Graph Data

📁 Managing and Mining Graph Data

✍ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) 📂 Library 📅 2010 🏛 Springer US 🌐 English

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy.

Managing and Mining Graph Data

📁 Managing and Mining Graph Data

✍ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) 📂 Library 📅 2010 🏛 Springer US 🌐 English

Managing and mining graph data

📁 Managing and mining graph data

✍ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) 📂 Library 📅 2010 🏛 Springer US 🌐 English

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy.