The overall goal of this project is to process and query time-series data.
- To develop algorithms for the imputation of missing values in time series (e.g., sensors failure).
- To develop algorithms to search for most similar subsequences in time series (e.g., most similar summer).
- To develop algorithms to summarise data series and to identify the most significant changes (e.g., stock market).
- To integrate the processing of time series data into existing DBMSs.
Processing time series data
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Johann Gamper is an associate professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano. Find out more about him checking out his website.
Web and database systems
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