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Keyword

FP-tree

Description: A compact tree data structure that stores transaction frequencies for efficient frequent-itemset mining and association-rule discovery.
OpenAlex ID: keywords/fp-tree
Mining frequent patterns without candidate generation
2000 · Jiawei Han, Jian Pei, et al. · ACM SIGMOD Record · 6,399
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
2003 · Jiawei Han, Jian Pei, et al. · Data Mining and Knowledge Discovery · 2,630
CMAR: accurate and efficient classification based on multiple class-association rules
2002 · Wenmin Li, Jiawei Han, et al. · Proceedings · 1,218
CLOSET : An Efficient Algorithm for Mining Frequent Closed Itemsets
2000 · Jian Pei · 826
Fast algorithms for frequent itemset mining using FP-trees
2005 · G. Grahne, J. Zhu · IEEE Transactions on Knowledge and Data Engineering · 549
Efficiently Using Prefix-trees in Mining Frequent Itemsets.
2003 · Gösta Grahne, Jianfei Zhu · 456
An implementation of the FP-growth algorithm
2005 · Christian Borgelt · 327
Mining top-k frequent closed patterns without minimum support
2003 · Jiawei Han, Jianyong Wang, et al. · Proceedings · 255
An effective tree structure for mining high utility itemsets
2010 · Chun-Wei Lin, Tzung-Pei Hong, et al. · Expert Systems with Applications · 238
TFP: an efficient algorithm for mining top-k frequent closed itemsets
2005 · Jianyong Wang, J. Han, et al. · IEEE Transactions on Knowledge and Data Engineering · 218
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support
2008 · Xiaowei Yan, Chengqi Zhang, et al. · Expert Systems with Applications · 211
Direct Discriminative Pattern Mining for Effective Classification
2008 · Hong Cheng, Xifeng Yan, et al. · Proceedings - International Conference on Data Engineering · 197
A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction
2015 · Lei Lin, Qian Wang, et al. · Transportation Research Part C Emerging Technologies · 189
Incrementally fast updated frequent pattern trees☆
2007 · T HONG, C LIN, et al. · Expert Systems with Applications · 185
Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism
2004 · Ya-Han Hu, Yen-Liang Chen · Decision Support Systems · 165
Fast parallel association rule mining without candidacy generation
2002 · O.R. Zaiane, M. El-Hajj, et al. · Proceedings · 153
CanTree: a canonical-order tree for incremental frequent-pattern mining
2006 · Carson Kai-Sang Leung, Quamrul I. Khan, et al. · Knowledge and Information Systems · 141
Mining frequent itemsets without support threshold: with and without item constraints
2004 · Yin-Ling Cheung, Ada Wai-Chee Fu · IEEE Transactions on Knowledge and Data Engineering · 140
Top Down FP-Growth for Association Rule Mining
2002 · Ke Wang, Liu Tang, et al. · Lecture notes in computer science · 137
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data
2006 · Ruoming Jin, G. Agrawal · Proceedings · 134
Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence
2010 · Hamid Reza Qodmanan, Mahdi Nasiri, et al. · Expert Systems with Applications · 133
A Survey on Association Rule Mining
2015 · Surbhi K. Solanki, Jalpa T. Patel · 130
Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree
2005 · C.I. Ezeife, Yi Lu · Data Mining and Knowledge Discovery · 129
An Efficient Approach for Maintaining Association Rules Based on Adjusting FP-Tree Structures
2004 · Jia-Ling Koh, Shui-Feng Shieh · Lecture notes in computer science · 128
The Pre-FUFP algorithm for incremental mining
2008 · Chun-Wei Lin, Tzung-Pei Hong, et al. · Expert Systems with Applications · 109
Works count: 1,300
Citation count: 21,420
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