A Survey on Sliding Window based Weighted Maximal Frequent Pattern Mining Over Data Streams

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Provided by: International Journal of Advanced Research in Computer Engineering & Technology
Topic: Data Management
Format: PDF
The frequent pattern mining is one of the important tasks used in data mining domain and frequent data mining approaches are widely applied onto static database as well as data stream but the data have been accumulated more quickly in recent years and the corresponding databases have also become huger, and thus, general frequent pattern mining methods have been faced with limitations that do not appropriately respond to the massive data, so it is necessary to conduct more efficient and immediate mining tasks by scanning databases only once.
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