Mining Association Rules in Temporal Document Collections

نویسندگان

  • Kjetil Nørvåg
  • Trond Øivind Eriksen
  • Kjell-Inge Skogstad
چکیده

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.

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منابع مشابه

Norwegian University of Science and Technology Technical Report IDI-TR-09/2007 Semantic-Based Association Rule Mining of Temporal Document Collections

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تاریخ انتشار 2006