Frequent Itemset Mining in Large Datasets a Survey

Publisher： IGI Global_journal

E-ISSN： 2155-6385|7|4|37-49

ISSN： 2155-6377

Source： International Journal of Information Retrieval Research (IJIRR), Vol.7, Iss.4, 2017-10, pp. : 37-49

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Full-Exact Approach for Frequent Itemset Hiding

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 11, Iss. 4, 2015-10 ,pp. : 49-63

IGI Global_journal

Access to resources Recommend Favorite

DMA: Matrix Based Dynamic Itemset Mining Algorithm

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 9, Iss. 4, 2013-10 ,pp. : 62-75

IGI Global_journal

Access to resources Recommend Favorite

Preference-Based Frequent Pattern Mining

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 1, Iss. 4, 2005-10 ,pp. : 56-77

IGI Global_journal

Access to resources Recommend Favorite

A Survey on Fuzzy Association Rule Mining

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 9, Iss. 1, 2013-01 ,pp. : 1-27

IGI Global_journal

Access to resources Recommend Favorite

Discovering Frequent Embedded Subtree Patterns from Large Databases of Unordered Labeled Trees

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 1, Iss. 2, 2005-04 ,pp. : 70-92

IGI Global_journal

Access to resources Recommend Favorite