NDLI: Efficient Processing of Narrow Range Queries in Multi-dimensional Data Structures

Content Provider	IEEE Xplore Digital Library
Author	Kratky, M. Snasel, V. Pokorny, J. Zezula, P.
Copyright Year	2006
Description	Author affiliation: VSB-Tech. Univ. of Ostrava (Kratky, M.; Snasel, V.)
Abstract	Multi-dimensional data structures are applied in many real index applications, i.e. data mining, indexing multimedia data, indexing of text documents and so on. Many index structures and algorithms have been proposed. There are two major approaches to multi-dimensional indexing: data structures to indexing metric and vector spaces. R-trees, R*-trees and (B)UB-trees are representatives of the vector data structures. These data structures provide efficient processing of many types of queries, i.e. point queries, range queries and so on. As far as the vector data structures are concerned, the range query retrieves all points in defined hyper box in an n-dimensional space. The narrow range query is an important type of the range query. Its processing is inefficient in vector data structures. Moreover, the efficiency decreases as the dimension of the indexed space increases. We depict an application of the signature for more efficient processing of narrow range queries. The approach puts the signature into the multi-dimensional data structures like R-tree or UB-tree but original functionalities are preserved, i.e. the range query algorithm for general range query. The novel data structure is called the signature data structure, e.g., signature R-tree or signature UB-tree
Sponsorship	IEEE Comput. Soc. IEEE Concordia Univ
Starting Page	69
Ending Page	79
File Size	298915
Page Count	11
File Format	PDF
ISBN	0769525776
ISSN	10988068
DOI	10.1109/IDEAS.2006.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data structures Indexing Multimedia databases Extraterrestrial measurements Information retrieval Data mining Relational databases Content based retrieval Biomedical imaging Geography
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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