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» Measuring Distributional Similarity in Context
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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 16 days ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
STOC
2002
ACM
177views Algorithms» more  STOC 2002»
14 years 7 months ago
Similarity estimation techniques from rounding algorithms
A locality sensitive hashing scheme is a distribution on a family F of hash functions operating on a collection of objects, such that for two objects x, y, PrhF [h(x) = h(y)] = si...
Moses Charikar
ICCS
2005
Springer
14 years 29 days ago
Morphisms in Context
Abstract. Morphisms constitute a general tool for modelling complex relationships between mathematical objects in a disciplined fashion. In Formal Concept Analysis (FCA), morphisms...
Markus Krötzsch, Pascal Hitzler, Guo-Qiang Zh...
SDM
2008
SIAM
158views Data Mining» more  SDM 2008»
13 years 9 months ago
Similarity Measures for Categorical Data: A Comparative Evaluation
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relative...
Shyam Boriah, Varun Chandola, Vipin Kumar
CBRMD
2008
69views more  CBRMD 2008»
13 years 7 months ago
Procurement Fraud Discovery using Similarity Measure Learning
Abstract. This paper describes an approach to detect hints on procurement fraud. It was developed within the context of a European Union project on fraud prevention. Procurement fr...
Stefan Rüping, Natalja Punko, Björn G&uu...