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Experimental study of discovering essential information from customer inquiry
2003
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03
This paper reports the result of our experimental study on a new method of applying an association rule miner to discover useful information from customer inquiry database in a call center of a company. It has been claimed that association rule mining is not suited for text mining. To overcome this problem, we propose (1) to generate sequential data set of words with dependency structure from the Japanese text database, and (2) to employ a new method for extracting meaningful association rules
doi:10.1145/956750.956850
dblp:conf/kdd/ShimazuMF03
fatcat:ulqqzlixa5gsncei4uuhyyyxmu