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An Approach for Mining Frequent Item sets from Tuple evolving Data Streams

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Figure

Table 1 shows the users and their interested items as bid in which users = {UT1, UT2, … ,UTM}, items {a, b, c, d, e and f} are the item names that associated with each user transaction
Figure 1.c: Revision Model- Update
Table 2: Terminology
Figure 3 shows the SlideTree for the window W(Sl1, .. ,Sl12). We can see that it contains three parts:User Transaction id (UTi) with slide information, SlideTree and Header
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