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

In many contexts today we have documents available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also contain implicit knowledge that can be found by text mining. In this paper we will study association rule mining of temporal document collections, and extend our previous work by 1) performing mining based on semantics as well as 2) studying the impact of appropriate techniques for ranking of rules.