We study a novel problem of mining significant recurrent rules from a sequence database. Recurrent rules have the form "whenever a series of precedent events occurs, eventuall...
This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated ...
Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou H...
Recent advances in XCS technology have shown that selfadaptive mutation can be highly useful to speed-up the evolutionary progress in XCS. Moreover, recent publications have shown...
Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi
Traditional location-based services recommend nearest objects to the user by considering their spatial proximity. However, an object not only has its distance but also has its dir...
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...