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ESWS
2007
Springer
15 years 10 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»
15 years 3 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»
15 years 3 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»
16 years 4 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»
15 years 10 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