Frequent Subgraph Mining Algorithms - A Survey and Framework for Classification

Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. Graph is a natural data structure used for modeling complex objects. Frequent subgraph mining is another active research topic in data mining. A graph is a general model to represent data and has been used in many domains like cheminformatics and bioinformatics. Mining patterns from graph databases is challenging since graph related operations, such as subgraph testing, generally have higher time complexity than the corresponding operations on itemsets, sequences, and trees.

Provided by: Academy & Industry Research Collaboration Center Topic: Big Data Date Added: Dec 2011 Format: PDF

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