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» Phase4: Automatic Evaluation of Database Search Methods
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KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 11 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
APBC
2007
110views Bioinformatics» more  APBC 2007»
15 years 5 months ago
Fast Structural Similarity Search Based on Topology String Matching
ibe an abstract data model of protein structures by representing the geometry of proteins using spatial data types and present a framework for fast structural similarity search bas...
Sung-Hee Park, David Gilbert, Keun Ho Ryu
HIKM
2006
ACM
15 years 10 months ago
Automatic document indexing in large medical collections
Term extraction relates to extracting the most characteristic or important terms (words or phrases) in a document. This information is commonly used for improving the accuracy of ...
Angelos Hliaoutakis, Kalliopi Zervanou, Euripides ...
WWW
2004
ACM
16 years 4 months ago
Affinity rank: a new scheme for efficient web search
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...
Yi Liu, Benyu Zhang, Zheng Chen, Michael R. Lyu, W...
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SISAP
2008
IEEE
115views Data Mining» more  SISAP 2008»
15 years 10 months ago
A Dynamic Pivot Selection Technique for Similarity Search
All pivot-based algorithms for similarity search use a set of reference points called pivots. The pivot-based search algorithm precomputes some distances to these reference points...
Benjamin Bustos, Oscar Pedreira, Nieves R. Brisabo...