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» Worst-Case Optimal Algorithms for Parallel Query Processing
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SBBD
2004
89views Database» more  SBBD 2004»
15 years 3 months ago
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data
Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the quer...
Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Ta...
143
Voted
CN
2007
148views more  CN 2007»
15 years 2 months ago
Using taxonomies for content-based routing with ants
Although the ant metaphor has been successfully applied to routing of data packets both in wireless and fixed networks, little is known yet about its appropriateness for search i...
Elke Michlmayr, Arno Pany, Gerti Kappel
BMCBI
2011
14 years 6 months ago
Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation
Background: The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest ap...
Torbjørn Rognes
INFOCOM
2006
IEEE
15 years 8 months ago
Performance of Full Text Search in Structured and Unstructured Peer-to-Peer Systems
— While structured P2P systems (such as DHTs) are often regarded as an improvement over unstructured P2P systems (such as super-peer networks) in terms of routing efficiency, it...
Yong Yang, Rocky Dunlap, Mike Rexroad, Brian F. Co...
CIKM
2010
Springer
15 years 28 days ago
Improved index compression techniques for versioned document collections
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
Jinru He, Junyuan Zeng, Torsten Suel