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
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 09-10, 2026
25th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
Frequent Pattern Mining Conference Speakers
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