Document clustering based on entity association rules

Details Document clustering based on entity association rules Document clustering based on entity association rules

2007-01-08

2009-11-10

Pham, Hung Q (Department: 2159)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000, C706S018000, C706S020000, C706S045000

Reexamination Certificate

active

07617182

ABSTRACT:
For each document in a document set, entities are identified and a set of association rules, based on appearance of the entities in the paragraphs of the documents in the set, are derived. Documents are clustered based on the association rules. As documents are added to the clusters, additional association rules specific to the clusters can optionally be derived as well.

REFERENCES:
patent: 7231384 (2007-06-01), Wu et al.
patent: 1 591 924 (2005-04-01), None
patent: PCT/US2008/050547 (2008-01-01), None
Agrawal et al., “Fast Algorithms for Mining Assocation Rules”, Proceedings of the 20th VLDB Conference Santiago, Chile, 1994, pp. 1-13.
Song et al., “A New Document Clustering Algorithm based on Association Rule”, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, Aug. 26-29, 2004, pp. 1310-1313.
Rakesh Agrawal “Mining Association Rules between Sets of Items in Large Databases” pp. 1-10 Proceedings of the 1993 ACM SIGMOD Conference, Washington D.C., May 1993.

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