University of Birmingham > Talks@bham > Computer Science Departmental Series > Mining Sequential Patterns from Uncertain Data

Mining Sequential Patterns from Uncertain Data

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If you have a question about this talk, please contact Mohammad Tayarani.

Host: Xin Yao

Sequential pattern mining is a classical problem that has been intensively studied, and has found many applications. However, there are many situations where the data that is mined is inherently uncertain (some may argue that all data is uncertain!). We consider SPM in the situation where the database to be mined is uncertain. We formulate the uncertainty in the probabilistic database framework, and give algorithms and complexity results for the problems that we formulate.

This talk is part of the Computer Science Departmental Series series.

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