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

November 23-24,2020

8th International Conferences on Green Energy & Expo

Edinburgh, Scotland
October 19-20, 2020

International Conference on Microfluidics & Bio-MEMS

Amsterdam, Netherlands
November 09-10, 2020

2nd World Congress on Robotics and Automation

Amsterdam, Netherlands
November 19-20, 2020

World Microfluidics Congress

Berlin, Germany
December 10-11, 2020

2nd International Conference on Wireless Technology

Abu Dhabi, UAE
February 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
March 15-16, 2021

International Summit on  Industrial Engineering

Munich, Germany

Frequent Pattern Mining Conference Speakers

Recommended Sessions

Related Journals

Are you interested in