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DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams

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AllenWu
AllenWu

This paper proposed a novel tree structure, DSTree, which can handle the stream data. The experiments show the comparable performance in terms of accuracy and efficiency.

Tecnologia
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DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams Presenter / Meng-Lun Wu Source / ICDM’06, IEEE Author / Carson Kai-Sang Leung, Quamrul I. Khan
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Related Work ,[object Object],[object Object],[object Object],[object Object],[object Object]
Related Work (cont.) ,[object Object],FP-streaming DSTree Algorithm type Approximate stream mining Exact stream mining Constructing tree One batch built one FP-tree Several batch in one transaction built one DSTree Store counts Keep just one frequency counts Keeps a list of frequency counts Support threshold Yes No Each path Represents an itemset Represents a transaction in the current window Window Titled-time windowing sliding window
DSTree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],DSTree Example
Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discussion (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental Results & First Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Second Experiment ,[object Object]
Third Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object]
Fourth Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Fifth experiment ,[object Object],[object Object]
Sixth experiment ,[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object]

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  • 1. DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams Presenter / Meng-Lun Wu Source / ICDM’06, IEEE Author / Carson Kai-Sang Leung, Quamrul I. Khan
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