Mining association rules in temporal document collections

Authors:
Kjetil Nørvåg;Trond Øivind Eriksen;Kjell-Inge Skogstad
Affiliations:
Dept. of Computer and Information Science, NTNU, Trondheim, Norway;Dept. of Computer and Information Science, NTNU, Trondheim, Norway;Dept. of Computer and Information Science, NTNU, Trondheim, Norway
Venue:
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Year:
2006

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Abstract

In this paper we describe how to mine association rules in temporal document collections. We describe how to perform the various steps in the temporal text mining process, including data cleaning, text refinement, temporal association rule mining and rule post-processing. We also describe the Temporal Text Mining Testbench, which is a user-friendly and versatile tool for performing temporal text mining, and some results from using this tool.