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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3293

Title: SEQUENTIAL PATTERN MINING
Authors: REMYAMOL K. M
Keywords: frequent patterns, associations, pattern mining, candidate generation
Issue Date: 4-Jun-2011
Abstract: Concept was introduced by Rakesh Agrawal and Ramakrishnan Srikant domain of Knowledge Discovery. Sequential pattern mining is the mining of frequently occurring ordered events or subsequences as patterns. It aimed to retrieve frequent patterns in the sequences of products purchased by customers through time ordered transactions. Several algorithms were proposed. The very first was Apriori algorithm, which was put forward by the founders itself. Later more scalable algorithms for complex applications were developed. Eg: GSP, SPADE, PrefixSpan, etc. in 1995.It is active field in the The area underwent considerable advancements since it’s introduction in a short span of time. Other areas include Web access pattern analysis, weather prediction, production processes, and network intrusion detection. Due to the exponential shoot in the amount of data generated in the world every second, it’s application on different domains gains more importance. in which sequential patterns can
URI: http://hdl.handle.net/123456789/3293
Appears in Collections:MTech 2010-2012 Batch

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