Frequent Pattern Mining

Frequent pattern mining (or) Pattern mining consists of using/developing data mining algorithms to discover interesting, unpredicted and useful patterns in databases. Pattern mining algorithms can be applied on different types of data such as sequence databases, transaction databases, streams, strings, spatial data, and graphs. Pattern mining algorithms can be designed to discover various types of patterns such as subgraphs, associations, sequential rules, lattices, sequential patterns, indirect associations, trends, periodic patterns and high-utility patterns.

  • Frequent item sets and association
  • Item Set Mining Algorithms
  • Graph Pattern Mining
  • Pattern and Role Assessment

Related Conference of Frequent Pattern Mining

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