New Normalized Technique using FP Growth for Subgraph Ranking
| Research Area: | Volume 3 Issue 4, July 2012 | Year: | 2012 |
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| Type of Publication: | Article | Keywords: | New Normalization-Technique, FP Growth, Ranking Subgraph |
| Authors: |
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| Journal: | IJECCE | Volume: | 3 |
| Number: | 4 | Pages: | 539 - 543 |
| Month: | July | ||
| Abstract: | Data mining techniques are being introduced
and widely applied to non-traditional itemsets; existing
approaches for finding frequent item sets were out of date as
they cannot satisfy the requirement of these domains. Hence,
an alternate method of modeling the objects in the said data
set is graph. Modeling objects using graphs allows us to
represent an arbitrary relation among entities. The graph is
used to model the database objects. Within that model, the
problem of finding frequent patterns becomes that of finding
subgraphs that occur frequently over the entire set of graphs.
It presents an efficient algorithm for ranking of such
frequent subgraphs. This proposed ranking method is
applied to the FP-growth method for discovering frequent
subgraphs. |
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Full text:
 ijecce-586.pdf | |||
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