[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || Mining Graph Patterns

[Advances in Database Systems] Managing

[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || Graph Classification

✍ Aggarwal, Charu C.; Wang, Haixun 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 1002 KB

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. It also studie

[Advances in Database Systems] Managing

[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || Software-Bug Localization with Graph Mining

✍ Aggarwal, Charu C.; Wang, Haixun 📂 Article 📅 2010 🏛 Springer US ⚖ 903 KB

[Advances in Database Systems] Managing

[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || Graph Mining Applications to Social Network Analysis

✍ Aggarwal, Charu C.; Wang, Haixun 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 859 KB

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. It also studie

[Advances in Database Systems] Managing

[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || A Survey of Clustering Algorithms for Graph Data

✍ Aggarwal, Charu C.; Wang, Haixun 📂 Article 📅 2010 🏛 Springer US ⚖ 783 KB

[Advances in Database Systems] Managing

[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || Exact and Inexact Graph Matching: Methodology and Applications

✍ Aggarwal, Charu C.; Wang, Haixun 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 874 KB

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. It also studie

[Advances in Database Systems] Managing

[Advances in Database Systems] Managing and Mining Graph Data Volume 40 || A Survey of Privacy-Preservation of Graphs and Social Networks

✍ Aggarwal, Charu C.; Wang, Haixun 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 970 KB

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. It also studie