Reliable and Reproducible Evaluation of High-Dimensional Index Structures
Projektleiter:
Projektbearbeiter:
Martin Schäler,
MSc David Broneske
Projekthomepage:
Finanzierung:
Haushalt;
Multimedia data, or high-dimensional data in general, have been subject to research for more than two decades and gain momentum even more in the communication technology age. From a database point of view, the myriads of gigabyte of data pose the problem of managing these data. In this course, query processing is a challenging task due to the high dimensionality of such data. In the past, dozens of index structures for high-dimensional data have been proposed and some of them are even standard-like references. However, it is still some kind of black magic to decide which index structure fits to a certain problem or outweighs other index structures.
Schlagworte
High-dimensional data, index selection, index tuning
Publikationen
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Kontakt
![Dr. Veit Köppen Dr. Veit Köppen](/static/gfx/pl/1144~mc.jpg?v=1599256012)
Dr. Veit Köppen
Otto-von-Guericke-Universität Magdeburg
Universitätsplatz 2
39106
Magdeburg
Tel.:+49 391 6758840
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