Distributed higher-order text mining: theory and practice

Authors:
William M. Pottenger;Shenzhi Li;Christopher D. Janneck
Affiliations:
Lehigh University;Lehigh University;Lehigh University
Venue:
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Year:
2006

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Distributed higher order association rule mining using information extracted from textual data

ACM SIGKDD Explorations Newsletter - Natural language processing and text mining

Higher order mining

ACM SIGKDD Explorations Newsletter

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Abstract

This highlight discusses the current and ongoing research into distributed higher-order text mining, as implemented using the DiHO ARM algorithm in the D-HOTM system. The DiHO ARM algorithm performs association rule mining in the absence of full knowledge of a global schema on distributed data that is neither vertically nor horizontally fragmented. The D-HOTM system encapsulates the DiHO (and potentially any other) rule-mining algorithm in a distributed system, designed as an extensible digital toolset for data analysts in law enforcement, counterterrorism, health care and other application domains.