Data Science Journal · 2007 · 32 citations · 10 references
ComputingComputer ScienceData ScienceData ManagementData MiningDatabasesData AnalysisData CleaningData IntegrationDatabase ManagementFrequent Pattern MiningOpen DataAssociation Rule LearningAssociation Rule MiningBorn-digital ArchivingJournal LiteratureOpen Data ManagementResearch Data CurationRule MiningTransparency
The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.All data is in scope, whether born digital or converted from other sources.
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Mining association rules between sets of items in large databases
Rakesh Agrawal, Tomasz Imieliński, Arun Swami · 1993 · 14.8K citations · Full text
Mining frequent patterns without candidate generation
Jiawei Han, Jian Pei, Yiwen Yin · 2000 · 3.2K citations · Full text
An effective hash-based algorithm for mining association rules
Jong Soo Park, Ming-Syan Chen⋆, Philip S. Yu · 1995 · 1.4K citations · Full text