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- W2419749659 abstract "In recent time data mining on big data is very tedious task in current scenario because huge data cannot be handling in the memory with different format type of data. In distributed environment web pages access by the user having some patterns, these patterns are merging and finding closed frequent set of web pages. Now do the Fuzzy C-Means clustering of web page access pattern tree. If user need next request page in advance then it search only partial web data not in whole web data. So that this research utilized a personalized weighted recommendation system based on user's interest with less execution time." @default.
- W2419749659 created "2016-06-24" @default.
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- W2419749659 date "2016-06-17" @default.
- W2419749659 modified "2023-09-29" @default.
- W2419749659 title "To Enhance Frequent Closed Pattern Tree using Fuzzy Clustering of Personalized Web-Log in Big Data" @default.
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- W2419749659 doi "https://doi.org/10.5120/ijca2016910267" @default.
- W2419749659 hasPublicationYear "2016" @default.
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