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Reliable and Reproducible Evaluation of High-Dimensional Index Structures
Projektleiter:
Projektbearbeiter:
Martin Schäler, MSc Reimar Schröter
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
Kontakt
Dr. Veit Köppen

Dr. Veit Köppen

Otto-von-Guericke-Universität Magdeburg

Zentrale Einrichtungen

Universitätsbibliothek

Universitätsplatz 2

39106

Magdeburg

Tel.+49 391 6758840

veit.koeppen(at)ovgu.de

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