Incremental Frequent Pattern Mining

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Provided by: International Journal of Engineering and Advanced Technology (IJEAT)
Topic: Data Management
Format: PDF
Association rule discovery is widely used data mining technique for market basket analysis. It discovers interesting correlations and frequent patterns from the database. In real life, new transactions are continuously added to the database as time advances. This result in; periodic change in correlations and frequent patterns present in database. Incremental association rule mining is used to handle this situation. Most of the existing Incremental rule mining methods are highly dependent on availability of main memory.
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