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Fast Sequential Rule Mining


Bharat Parmar , SSSIT; Prof. Gajendra Singh Chandel, SSSIT


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In this paper, we have proposed a novel sequential mining method. The method is fast in comparison to existing method. Data mining, that is additionally cited as knowledge discovery in databases, has been recognized because the method of extracting non-trivial, implicit, antecedently unknown, and probably helpful data from knowledge in databases. The information employed in the mining method usually contains massive amounts of knowledge collected by computerized applications. As an example, bar-code readers in retail stores, digital sensors in scientific experiments, and alternative automation tools in engineering typically generate tremendous knowledge into databases in no time. Not to mention the natively computing- centric environments like internet access logs in net applications. These databases therefore work as rich and reliable sources for information generation and verification. Meanwhile, the massive databases give challenges for effective approaches for information discovery.

Other Details

Paper ID: IJSRDV2I8033
Published in: Volume : 2, Issue : 8
Publication Date: 01/11/2014
Page(s): 170-171

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