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

September 21-22, 2021

Global Summit on Computer Science and data management

Sakai, Australia
September 29-29, 2021

Webinar on Artificial Intelligence

London, UK
October 04-05, 2021

7th Global Innovators Summit

Singapore City, Singapore
November 16-16, 2021

8th World Machine Learning and Deep learning Conference

Barcelona, Spain
November 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy
December 13-14, 2021

International Conference on Microfluidics & Bio-MEMS

Abu Dhabi, UAE
February 14-15, 2022

International Conference on Mechatronics and Automation

Paris, France
February 14-15, 2022

2nd International Congress on AI and Machine Learning

Prague, Czech Republic
February 14-15, 2022

Global Summit on Robotics and Artificial Intelligence

Prague, Czech Republic

Frequent Pattern Mining Conference Speakers

Recommended Sessions

Related Journals

Are you interested in