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Mining Top-K Frequent Closed Itemsets over Data Streams Using Sliding Windows

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Mining top-k frequent closed itemsets over data streams using the sliding window model Author: Pauray S.M Tsai Publication: ESA 2010 Presenter: Yuan-Chung Chang
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction (cont.) ,[object Object],[object Object],[object Object],[object Object]
Introduction (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction (cont.) ,[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object]
Motivation (cont.) ,[object Object],[object Object],[object Object],[object Object]
Motivation (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Mining top-k frequent closed itemsets ,[object Object]
Mining top-k frequent closed itemsets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mining top-k frequent closed itemsets ,[object Object],[object Object]
Mining top-k frequent closed itemsets
Example for FCI_max algorithm ,[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object]
www.themegallery.com Thank you for your listening Q & A

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Mining Top-K Frequent Closed Itemsets over Data Streams Using Sliding Windows

  • 1. Mining top-k frequent closed itemsets over data streams using the sliding window model Author: Pauray S.M Tsai Publication: ESA 2010 Presenter: Yuan-Chung Chang
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  • 14. Mining top-k frequent closed itemsets
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  • 35. www.themegallery.com Thank you for your listening Q & A