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
- tem Set Mining Algorithms
- Graph Pattern Mining
- Pattern and Role Assessment
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