A Survey Paper on Frequent Pattern Mining for Uncertain Database |
Author(s): |
| Jigisha V. Patel , L.J.Institute of Engineering and Technology |
Keywords: |
| Frequent Pattern, Uncertain Database, U-Apriori algorithm |
Abstract |
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There are number of existing algorithms proposed that mines frequent patterns from certain or precise data. But know a day's demand of uncertain data mining is increased. There are many situations in which data are uncertain. For frequent pattern mining from uncertain data mainly two approaches are proposed that are level-wise approach and pattern-growth approach. Level-wise approach use the generate and test strategy. U-Apriori algorithm is the example of Level-wise approach. Pattern-growth approach uses tree like structure. UF-growth algorithm, UFP-growth algorithm, CUFP-mine algorithm, PUF-growth algorithm are the examples of pattern-growth approach. Here we are taking the survey of algorithms that are used to mine frequent patterns from uncertain data. |
Other Details |
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Paper ID: IJSRDV2I10050 Published in: Volume : 2, Issue : 10 Publication Date: 01/01/2015 Page(s): 134-135 |
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