Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03

Keywords

Implementation, Computer science, Data mining, Data science, Software engineering

References

• Efficient frequent pattern miningBart Goethals — 2002
• A fast APRIORI implementationFerenc Bodon — 2003
• Galois Connections and Data MiningDana Cristofor, Laurentiu Cristofor, Dan A. Simovici — 2000
• New Algorithms for Fast Discovery of Association RulesMohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara — 1997
• CHARM: An Efficient Algorithm for Closed Itemset MiningMohammed J. Zaki, Ching-Jui Hsiao — 2002
• Fast Discovery of Association RulesRakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant — 1996
• An Efficient Algorithm for Mining Association Rules in Large DatabasesAshoka Savasere, Edward Omiecinski, Shamkant B. Navathe — 1995
• Sampling Large Databases for Association RulesHannu Toivonen — 1996
• Mining association rules: anti-skew algorithmsJun-Lin Lin, Margaret H. Dunham — 1998
• Using association rules for product assortment decisions: a case studyTom Brijs, Gilbert Swinnen, Koen Vanhoof — 1999
• Turbo-charging vertical mining of large databasesPradeep Shenoy, Jayant R. Haritsa, S. Sudarshan — 2000
• Real world performance of association rule algorithmsZijian Zheng, Ron Kohavi, Llew Mason — 2001
• An effective hash-based algorithm for mining association rulesJong Soo Park, Ming-Syan Chen⋆, Philip S. Yu — 1995
• Dynamic itemset counting and implication rules for market basket dataSergey Brin, Rajeev Motwani, Jeffrey D. Ullman — 1997
• Mining frequent patterns without candidate generationJiawei Han, Jian Pei, Yiwen Yin — 2000
• Depth first generation of long patternsRamesh C. Agarwal, Charų C. Aggarwal, Vara Prasad — 2000
• Towards long pattern generation in dense databasesCharų C. Aggarwal — 2001
• Fast vertical mining using diffsetsMohammed J. Zaki, Karam Gouda — 2003
• Scalable Algorithms for Association MiningMohammed J. Zaki — 2000
• SmartMiner: a depth first algorithm guided by tail information for mining maximal frequent itemsetsQinghua Zou, Wesley W. Chu, Baojing Lu — 2002

Cited by

• Revealing Topic-based Relationship Among Documents using Association Rule MiningKritsada Sriphaew, Thanaruk Theeramunkong — 2005
• Toward more parallel frequent itemset mining algorithmsRobert Kessl, Pavel Tvrdı́k — 2007
• Algorithmic Features of EclatLars Schmidt-Thieme — 2004
• Spatio-Temporal Data Mining for Location-Based ServicesGyőző Gidófalvi — 2008
• Réécriture de requêtes en termes de vues en présence de contraintes de valeurs pour un système d'intégration de sources de données agricoles. (Query rewriting using views in presence of value constraints for an integration system of agricultural data sources)H. Jaudoin — 2005
• Hybridization of Neighbourhood Search Metaheuristic with Data Mining Technique to Solve p-median P roblemSsvn. Sarma — 2012
• A hybrid k-Mean-GRASP for partition based Clustering of two-dimensional data space as an application of p-median problemNadella Sunil, Mercy Kiranmai, Narasimha Gugulotu — 2012
• Mining association rules for clustered domains by separating disjoint sub-domains inLarge DatabasesKanhaiya Lal, N. C. Mahanti — 2010
• Mining frequent itemsets from secondary memoryGösta Grahne, Jianfei Zhu — 2004
• A virtual reality-based approach for interactive and visual mining of association rulesZohra Ben Said — 2012
• YAFIMA: Yet Another Frequent Itemset Mining AlgorithmMohammad El-Hajj, Osmar R. Zai͏̈ane — 2005
• Unsupervised Learning for Gene Regulation Network Inference from Expression Data: A ReviewMohamed Elati, Céline Rouveirol — 2010
• Surprising Results of Trie-based FIM AlgorithmsFerenc Bodon — 2004
• Extending the Hybridization of Metaheuristics with Data Mining to a Broader DomainMarcos Guerine, Isabel Rosseti, Alexandre Plastino — 2014
• Out-of-core frequent pattern mining on a commodity PCGregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting — 2006
• Issues in pattern mining and their resolutionsTong‐Yuan Wang, Bipin C. Desai — 2009
• Applications of the DM-GRASP heuristic: a surveyLuís F. Santos, Simone L. Martins, Alexandre Plastino — 2008
• Efficient pattern mining on shared memory systems: implications for chip multiprocessor architecturesGregory Buehrer, Yen-Kuang Chen, Srinivasan Parthasarathy — 2006
• An FPGA-Based Accelerator for Frequent Itemset MiningYan Zhang, Fan Zhang, Zheming Jin — 2013
• Index-Maxminer: a New Maximal Frequent Itemset Mining AlgorithmWei Song, Bingru Yang, Zhangyan Xu — 2008

Related papers

• Mining frequent patterns without candidate generationJiawei Han, Jian Pei, Yiwen Yin — 2000
• Fast Algorithms for Mining Association RulesRakesh Agrawal, Ramakrishnan Srikant — 1998
• Mining association rules between sets of items in large databasesRakesh Agrawal, Tomasz Imieliński, Arun Swami — 1993
• Efficiently Using Prefix-trees in Mining Frequent ItemsetsGösta Grahne, Jianfei Zhu — 2003
• Fast Algorithms for Mining Association Rules in Large DatabasesRakesh Agrawal, Ramakrishnan Srikant — 1994
• Scalable Algorithms for Association MiningMohammed J. Zaki — 2000
• CLOSET+: searching for the best strategies for mining frequent closed itemsetsJianyong Wang, Jiawei Han, Jian Pei — 2003
• Efficiently mining long patterns from databasesRoberto J. Bayardo — 1998
• Sampling Large Databases for Association RulesHannu Toivonen — 1996