Mining Web Sequential Patterns Incrementally with Revised PLWAP Tree

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Provided by: University of Westminster
Topic: Big Data
Format: PDF
Since point and click at web pages generate continuous data stream, which flow into web log data, old patterns may be stale and need to be updated. Algorithms for mining web sequential patterns from scratch include WAP, PLWAP and apriori-based GSP. An incremental technique for updating already mined patterns when database changes, which is based on an efficient sequential mining technique like the PLWAP is needed. This paper proposes an algorithm, Re-PL4UP, which uses the PLWAP tree structure to incrementally update web sequential patterns.
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