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DBIS

Data Stream Management and Analysis

December 3rd, 2021

Low-cost sensors and high communication bandwidths open up new possibilities for applications that benefit from a high amount of data. Such applications produce data continuously, potentially unbounded, and at high rates, which is subsumed under the term data stream. Examples for applications fields are smart manufacturing, high-speed trading, fraud detection, robotics, or social networks.
Data stream management systems are special systems which address the specific requirements handling data streams.
In this seminar we will research recent topics in data stream management and analysis, such as data compression, online learning, or operator distribution.

Type Seminar
Term SS 2022
Mentor(s) Sandra Geisler
Assistant(s)

Low-cost sensors and high communication bandwidths open up new possibilities for applications that benefit from a high amount of data. Such applications produce data continuously, potentially unbounded, and at high rates, which is subsumed under the term data stream. Examples for applications fields are smart manufacturing, high-speed trading, fraud detection, robotics, or social networks.
Data stream management systems are special systems which address the specific requirements handling data streams.
In this seminar we will research recent topics in data stream management and analysis, such as data compression, online learning, or operator distribution.

The seminar will be offered as block seminar.