WFIM: weighted frequent itemset mining with a weight range and a minimum weight
U Yun, JJ Leggett - Proceedings of the 2005 SIAM international conference …, 2005 - SIAM
Researchers have proposed weighted frequent itemset mining algorithms that reflect the
importance of items. The main focus of weighted frequent itemset mining concerns satisfying …
importance of items. The main focus of weighted frequent itemset mining concerns satisfying …
Efficient mining of weighted interesting patterns with a strong weight and/or support affinity
U Yun - Information Sciences, 2007 - Elsevier
Most algorithms for frequent pattern mining use a support constraint to prune the
combinatorial search space but support-based pruning is not enough. After mining datasets …
combinatorial search space but support-based pruning is not enough. After mining datasets …
[PDF][PDF] AFOPT: An Efficient Implementation of Pattern Growth Approach.
In this paper, we revisit the frequent itemset mining (FIM) problem and focus on studying the
pattern growth approach. Existing pattern growth algorithms differ in several dimensions:(1) …
pattern growth approach. Existing pattern growth algorithms differ in several dimensions:(1) …
Discovering fuzzy time-interval sequential patterns in sequence databases
YL Chen, TCK Huang - … Systems, Man, and Cybernetics, Part B …, 2005 - ieeexplore.ieee.org
Given a sequence database and minimum support threshold, the task of sequential pattern
mining is to discover the complete set of sequential patterns in databases. From the …
mining is to discover the complete set of sequential patterns in databases. From the …
A new fast vertical method for mining frequent patterns
Vertical mining methods are very effective for mining frequent patterns and usually
outperform horizontal mining methods. However, the vertical methods become ineffective …
outperform horizontal mining methods. However, the vertical methods become ineffective …
On computing, storing and querying frequent patterns
G Liu, H Lu, W Lou, JX Yu - Proceedings of the ninth ACM SIGKDD …, 2003 - dl.acm.org
Extensive efforts have been devoted to developing efficient algorithms for mining frequent
patterns. However, frequent pattern mining remains a time-consuming process, especially …
patterns. However, frequent pattern mining remains a time-consuming process, especially …
Mining lossless closed frequent patterns with weight constraints
U Yun - Knowledge-Based Systems, 2007 - Elsevier
Frequent pattern mining is one of main concerns in data mining tasks. In frequent pattern
mining, closed frequent pattern mining and weighted frequent pattern mining are two main …
mining, closed frequent pattern mining and weighted frequent pattern mining are two main …
Fuzzy Frequent Pattern Mining Algorithm Based on Weighted Sliding Window and Type‐2 Fuzzy Sets over Medical Data Stream
J Chen, P Li, W Fang, N Zhou, Y Yin… - Wireless …, 2021 - Wiley Online Library
Real‐time data stream mining algorithms are largely based on binary datasets and do not
handle continuous quantitative data streams, especially in medical data mining field …
handle continuous quantitative data streams, especially in medical data mining field …
An efficient mining of weighted frequent patterns with length decreasing support constraints
U Yun - Knowledge-Based Systems, 2008 - Elsevier
Frequent pattern mining has been extensively studied in the data mining field due to its
broad applications in mining association rules, correlations, closed frequent patterns, graph …
broad applications in mining association rules, correlations, closed frequent patterns, graph …
Discovery of fuzzy quantitative sequential patterns with multiple minimum supports and adjustable membership functions
TCK Huang - Information sciences, 2013 - Elsevier
The objective of mining quantitative sequential patterns is to discover complete sets of
sequential patterns with quantities in databases. Although this novel type of pattern …
sequential patterns with quantities in databases. Although this novel type of pattern …