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

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