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ESWS
2007
Springer
14 years 2 months ago
Simple Algorithms for Predicate Suggestions Using Similarity and Co-occurrence
Abstract When creating Semantic Web data, users have to make a critical choice for a vocabulary: only through shared vocabularies can meaning be established. A centralised policy p...
Eyal Oren, Sebastian Gerke, Stefan Decker
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 8 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BMCBI
2008
142views more  BMCBI 2008»
13 years 8 months ago
Optimal neighborhood indexing for protein similarity search
Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Pierre Peterlongo, Laurent Noé, Dominique L...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 9 months ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 3 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer