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Keyword

FP-Growth algorithm

Description: A data-mining algorithm that finds frequent itemsets efficiently using a compact tree structure, often for association-rule discovery.
OpenAlex ID: keywords/fp-growth-algorithm
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
Machine Learning in Action
2012 · Peter de B. Harrington · 633
Efficiently Using Prefix-trees in Mining Frequent Itemsets.
2003 · Gösta Grahne, Jianfei Zhu · 456
Pfp
2008 · Haoyuan Li, Yi Wang, et al. · ACM Conference on Recommender Systems (RecSys) · 445
Advances in Knowledge Discovery and Data Mining
2004 · Dai, Honghua, Zhang, Chengqi, et al. · Lecture notes in computer science · 435
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Mining frequent itemsets with convertible constraints
2002 · Jian Pei, Jiawei Han, et al. · Proceedings - International Conference on Data Engineering · 342
An implementation of the FP-growth algorithm
2005 · Christian Borgelt · 327
An intelligent PE-malware detection system based on association mining
2008 · Yanfang Ye, Dingding Wang, et al. · Journal of Computer Virology and Hacking Techniques · 193
SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery
2006 · Martin Atzmueller, Frank Puppe · Lecture notes in computer science · 177
PrePost+: An efficient N-lists-based algorithm for mining frequent itemsets via Children–Parent Equivalence pruning
2015 · Zhi-Hong Deng, Sheng-Long Lv · Expert Systems with Applications · 154
Sliding window-based frequent pattern mining over data streams
2009 · Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, et al. · Information Sciences · 153
Fast parallel association rule mining without candidacy generation
2002 · O.R. Zaiane, M. El-Hajj, et al. · Proceedings · 153
Fast mining frequent itemsets using Nodesets
2014 · Zhi-Hong Deng, Sheng-Long Lv · Expert Systems with Applications · 149
Pushing Convertible Constraints in Frequent Itemset Mining
2004 · Jian Pei, Jiawei Han, et al. · Data Mining and Knowledge Discovery · 137
Top Down FP-Growth for Association Rule Mining
2002 · Ke Wang, Liu Tang, et al. · Lecture notes in computer science · 137
Efficient single-pass frequent pattern mining using a prefix-tree
2008 · Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, et al. · Information Sciences · 128
Frequent Pattern Mining Algorithms: A Survey
2014 · Charu C. Aggarwal, Mansurul A. Bhuiyan, et al. · Springer eBooks · 122
An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth
2018 · Wanli Feng, Quanyin Zhu, et al. · Cluster Computing · 116
International Journal of Computer Trends and Technology
2014 · International Journal of Computer Trends and Technology · 112
Market basket analysis with association rules
2020 · Yüksel Akay Ünvan · Communication in Statistics- Theory and Methods · 110
A MapReduce solution for associative classification of big data
2015 · Alessio Bechini, Francesco Marcelloni, et al. · Information Sciences · 109
Balanced parallel FP-Growth with MapReduce
2010 · Le Zhou, Zhiyong Zhong, et al. · IEEE Youth Conference on Information, Computing and Telecommunication (YC-ICT) · 100
Mining Colossal Frequent Patterns by Core Pattern Fusion
2007 · Feida Zhu, Xifeng Yan, et al. · Proceedings - International Conference on Data Engineering · 99
Works count: 3,534
Citation count: 28,820
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