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Database Optimization Via Effective K-nearest Neighbors Search

Student: Egor Skoropostizhnyy

Supervisor: Alexander Ponomarenko

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2017

Database Optimization Via Effective K-nearest Neighbors Search Theme of the work is to study the possibility of DB optimization with the help of effective search for k-nearest neighbors. The aim of this paper is to investigate the possibility of replacing standard indexes in databases with indices based on finding the nearest neighbor And test its work on real data. As a result, such an index was developed and tested on the basis of real airport DB.

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