Inter Transactional Association Rule Mining using Boolean Matrix

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Data mining is the process of exploring and analyzing data from different perspective to extract knowledge or useful information and discover correlations or meaningful patterns and rules from large databases. One of the extensions of the data mining is temporal data mining, which mines or discovers knowledge and patterns from temporal information which includes time attribute analysis. From the various types of temporal association rule mining, much of the literature focuses on intra transaction association rules, which deal with relations within transactions. Only a few algorithms exist to mine inter transaction association rules, where relations across transactions are analyzed.
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