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Feb 2024 - Volume 15, Issue 1
Deadline: 15 Jan 2024
Publication: 20 Feb 2024
Apr 2024 - Volume 15, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
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A FREQUENT DOCUMENT MINING ALGORITHM WITH CLUSTERING |
Authors |
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Mr. Rakesh Kumar Soni, Prof. Neetesh Gupta, Prof. Amit Sinhal |
Keywords |
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clustering, document-graph, FP-growth, graph mining, frequent sub graphs clustering. |
Issue Date |
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Oct-Nov 2012 |
Abstract |
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Now days, finding the association rule from large number of item-set become very popular issue in the field of data mining. To determine the association rule researchers implemented a lot of algorithms and techniques. FPGrowth is a very fast algorithm for finding frequent item-set. This paper, give us a new idea in this field. It replaces the role of frequent item-set to frequent sub graph discovery. It uses the processing of datasets and describes modified FP-algorithm for sub-graph discovery. The document clustering is required for this work. It can use self-similarity function between pair of document graph that similarity can use for clustering with the help of affinity propagation and efficiency of algorithm can be measure by F-measure function. |
Page(s) |
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678-686 |
ISSN |
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0976-5166 |
Source |
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Vol. 3, No.5 |
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