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» Compression, Indexing, and Retrieval for Massive String Data
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PODS
2009
ACM
130views Database» more  PODS 2009»
14 years 8 months ago
Secondary indexing in one dimension: beyond b-trees and bitmap indexes
Let be a finite, ordered alphabet, and consider a string x = x1x2 . . . xn n . A secondary index for x answers alphabet range queries of the form: Given a range [al, ar] , retu...
Rasmus Pagh, Srinivasa Rao Satti
WWW
2008
ACM
14 years 8 months ago
Application of bitmap index to information retrieval
To solve this problem, we devised the HS-bitmap index, which is hierarchically comprised of compressed data of summary bits. A summary bit in an upper matrix is obtained by logical...
Kengo Fujioka, Yukio Uematsu, Makoto Onizuka
CIKM
2007
Springer
14 years 1 months ago
Index compression is good, especially for random access
Index compression techniques are known to substantially decrease the storage requirements of a text retrieval system. As a side-effect, they may increase its retrieval performanc...
Stefan Büttcher, Charles L. A. Clarke
JSS
2006
132views more  JSS 2006»
13 years 7 months ago
FMF: Query adaptive melody retrieval system
Recent progress of computer and network technologies makes it possible to store and retrieve a large volume of multimedia data in many applications. In such applications, efficien...
Seungmin Rho, Eenjun Hwang
EDBT
2010
ACM
155views Database» more  EDBT 2010»
13 years 10 months ago
Suffix tree construction algorithms on modern hardware
Suffix trees are indexing structures that enhance the performance of numerous string processing algorithms. In this paper, we propose cache-conscious suffix tree construction algo...
Dimitris Tsirogiannis, Nick Koudas