Sequential pattern mining is the method that has received much attention in sequence data mining research and applications, however, a drawback is that it does not profit from prior knowledge of domains. In our previous work, we proposed a belief-driven method with fuzzy set theory for discovering the unexpected sequences that contradict existing knowledge of data, including occurrence constrai...

In this paper, we present the Quantitative Usage Analysis of Data (QUAD) tool, a sophisticated memory access tracing tool that provides a comprehensive quantitative analysis of memory access patterns of an application with the primary goal of detecting actual data dependencies at function-level. As improvements in processing performance continue to outpace improvements in memory performance, to...

The goal of sequence mining is the discovery of interesting sequences of events. Conventional sequence miners discover only frequent sequences, though. This limits the applicability scope of sequence mining for domains like error detection and web usage analysis. We propose a framework for discovering and maintaining interesting rules and beliefs in the context of sequence mining. We transform ...

In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from the given web usage data. Extracted biclusters are consists of correlated users whose usage behaviors are similar across the subset of web pages of a web site where as these users are uncorrel...

--The Quest for knowledge has led to new discoveries and invention. That leads to amelioration of various technologies. As years passed World Wide Web became overloaded with information and it became hard to retrieve data according to the need .Web mining came as a violence to provide solution of above problem. Web usage mining is category of web mining. Web usage mining mainly circulation with...