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» Metrics for Mining Multisets
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77
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ISMVL
2007
IEEE
100views Hardware» more  ISMVL 2007»
15 years 3 months ago
On the Axiomatization of Generalized Entropic Metrics
Starting from an axiomatization of a generalization of Shannon entropy we introduce a set of axioms for a parametric family of distances over sets of partitions of finite sets. T...
Dan A. Simovici
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 10 days ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
117
Voted
KAIS
2000
87views more  KAIS 2000»
14 years 9 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
67
Voted
SISAP
2008
IEEE
153views Data Mining» more  SISAP 2008»
15 years 3 months ago
Counting Distance Permutations
Distance permutation indexes support fast proximity searching in high-dimensional metric spaces. Given some fixed reference sites, for each point in a database the index stores a...
Matthew Skala
95
Voted
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 10 months ago
When do data mining results violate privacy?
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
Murat Kantarcioglu, Jiashun Jin, Chris Clifton