Efficient frequent pattern mining based on Linear Prefix tree-Reference-Cited by-同舟云学术

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Efficient frequent pattern mining based on Linear Prefix tree

Published:2014-01 Issue: Volume:55 Page:125-139
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Pyun Gwangbum,Yun Unil,Ryu Keun Ho

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference45 articles.

1. Fast algorithms for mining association rules;Agrawal;Very Large Data Bases(VLDB),1994

2. A framework for mining interesting high utility patterns with a strong frequency affinity;Ahmed;Information Science (ISCI),2011

3. Interactive mining of high utility patterns over data streams;Ahmed;Expert System with Applications (ESWA),2012

4. Runtime-flexible multi-dimensional arrays and views for C++98 and C++0x;Andres;Software: Practice and Experience,2010

5. MAFIA: a maximal frequent itemset algorithm;Burdick;Transactions on Knowledge and Data Engineering (TKDE),2005

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