An Efficient Algorithm for Mining Association Rules in Large Databases

Keywords

Association rule learning, Computer science, Overhead (engineering), Database, Data mining

References

• Set-Oriented Mining for Association RulesM.A.W. Houtsma, A. Swami — 1993
• An Analysis of Three Transaction Processing ArchitecturesAnupam Bhide — 1988
• Fast Algorithms for Mining Association Rules in Large DatabasesRakesh Agrawal, Ramakrishnan Srikant — 1994
• Knowledge Discovery in Databases: An Attribute-Oriented ApproachJiawei Han, Yandong Cai, Nick Cercone — 1992
• Set-oriented mining for association rules in relational databasesM.A.W. Houtsma, A. Swami — 1995
• Database systems: achievements and opportunitiesAvi Silberschatz, Michael Stonebraker, Jeffrey D. Ullman — 1990
• DBMS Research at a Crossroads: The Vienna UpdateMichael Stonebraker, Rakesh Agrawal, Umeshwar Dayal — 1993
• Parallel database systems: the future of high performance database systemsDavid J. DeWitt, Jim Gray — 1992
• Practitioner problems in need of database researchGomer Thomas, K. Kawagoe, Rajasekar Krishnamurthy — 1991
• Language features for interoperability of databases with schematic discrepanciesRavi Krishnamurthy, Witold Litwin, William Kent — 1991
• Data Mining: the search for knowledge in databases.Marcel Holsheimer, Arno Siebes — 1994
• Combinatorial pattern discovery for scientific data: some preliminary resultsJason Tsong-Li Wang, Gung‐Wei Chirn, Thomas G. Marr — 1994
• Mining association rules between sets of items in large databasesRakesh Agrawal, Tomasz Imieliński, Arun Swami — 1993
• Data dredgingShalom Tsur⋆ — 1990
• Knowledge Discovery in DatabasesJ FrawleyWilliam, Piatetsky-ShapiroGregory, J MatheusChristopher — 1991
• Knowledge Discovery in DatabasesGregory Piateski, William Frawley — 1991

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• Using Neural Networks for Pattern Association for the Online Purchase of ProductsArpan Kumar Kar, Supriya Kumar De — 2009
• Efficient frequent pattern miningBart Goethals — 2002
• A Framework for Synthesizing Arbitrary Boolean Expressions Induced by Frequent ItemsetsAnimesh Adhikari, Prasad Rao — 2007
• Density-based clustering in large databases using projections and visualizationsAlexander Hinneburg — 2002
• CONDCLOSE: new algorithm of association rules extractionHamida Amdouni, Mohamed Mohsen Gammoudi — 2011
• Fast Counting with AV-Space for Efficient Rule InductionLinyan Wang, Aijun An — 2007
• Bitmap based algorithms for mining association rulesGeorges Gardarin, Philippe Pucheral, Fei Wu — 1998
• Association Rule Mining: A SurveyQiankun Zhao, Sourav S. Bhowmick — 2003
• A fast APRIORI implementationFerenc Bodon — 2003
• Formal Methods for Mining Structured ObjectsGemma C. Garriga — 2013
• OPAM-An Efficient One Pass Association Mining Technique without Candidate GenerationSwarup Roy, Dhruba K. Bhattacharyya — 2008
• Risk Prediction on the Patient’s OutcomesKyaw May Oo, Ni Lar Thein — 2006
• EquipAsso: An Algorithm based on New Relational Algebraic Operators for Association Rules DiscoveryRicardo Pereira, Marta Millán — 2005
• Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03Bart Goethals, Mohammed J. Zaki — 2003
• Knowledge Discovery and Interestingness Measures: A SurveyRobert J. Hilderman — 2012
• Mining Multiple Large Data SourcesAnimesh Adhikari, Pralhad Ramachandrarao, Bhanu Prasad — 2010
• Objectminer: A New Approach for Mining Complex ObjectsRoxana Dánger, José Ruíz-Shulcloper, Rafael Berlanga — 2016
• Frequent query discovery: a unifying ILP approach to association rule miningLuc De Raedt, Hannu Toivonen — 1998
• Fast Frequent Pattern Mining in Real-TimeRajanish Dass, Ambuj Mahanti — 2005

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