On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Characterizing reference locality in the WWW
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Mining web logs for prediction models in WWW caching and prefetching
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
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The aim of this study is to investigate relationship between past users' behavior (described by access patterns) and future one. The two main ideas are first to explore the possible users' characterization that can be extracted from access pattern. This allows to measure and to have a better understanding of users' behavior. This knowledge allows us to build new services as building interest communities based on a comparative approach and clustering. The second idea is to see if these characterizations can be useful to forecast future access. This could be useful to prefetch web data in proxy-cache. We show that there are some partial mathematical models binding the users' behavior to the repetition of queries.