Research project: "Data Analysis and Monitoring for a Sustainable Agriculture (DASA)"
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Goal
The overall goal of this project is to process and query time-series data.
Objectives
- 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.
Topics
Processing time series data
Key technologies
PostgreSQL
Applications
Temporal queries
Contact
Johann Gamper (
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web site)
, web site)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.
Category
Web and database systems
Type
Research project
