Amanote Research
Register
Sign In
Improved Algorithm for Mining Maximum Frequent Patterns Based on FP-Tree
doi 10.2991/iccia.2012.202
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2012
Authors
Naili Liu
Lei Ma
Publisher
Atlantis Press
Related search
Analyzing Working of FP-Growth Algorithm for Frequent Pattern Mining
International Journal of Research Studies in Computer Science and Engineering
Mining Frequent Patterns of Crime Using FP-Growth With Multiple Minimum Supports Based on Shannon Entropy
International Journal of Computer Applications
Query Expansion in Information Retrieval Using Frequent Pattern (FP) Growth Algorithm for Frequent Itemset Search and Association Rules Mining
International Journal of Advanced Computer Science and Applications
Computer Science
The Algorithm for Mining Global Frequent Itemsets Based on Big Data
Text Categorization Based on Classification Rules Tree by Frequent Patterns
Ruan Jian Xue Bao/Journal of Software
Software
Market Basket Analysis Using Improved FP-tree
International Journal of Data Mining Techniques and Applications
Frequent Tree Pattern Mining: A Survey
Intelligent Data Analysis
Computer Vision
Pattern Recognition
Artificial Intelligence
Theoretical Computer Science
Multilevel Index Algorithm Based on Improved Association Rule Mining
DEStech Transactions on Computer Science and Engineering
Computer Crime Forensics Based on Improved Decision Tree Algorithm
Journal of Networks
