Markov Model Based Disk Power Management for Data Intensive Workloads
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Learning user purchase intent from user-centric data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
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In this paper, two cache replacement algorithms are presented. One is based on association rules, in which we extend the LRU replacement algorithm by making it sensible to web access models extracted from web log data using web mining techniques. The other one is based on Markov models, in which we improve the LRU replacement algorithm by applying Markov models.