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ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
14 years 7 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 7 months ago
Analyzing Abnormal Events from Spatio-temporal Trajectories
Advances in RFID based sensor technologies has been used in applications which requires the tracking of assets, products and individuals. The recording of such movements is capture...
Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong-Li L...
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 24 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
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 12 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
BMCBI
2008
127views more  BMCBI 2008»
14 years 10 months ago
MetaMine - A tool to detect and analyse gene patterns in their environmental context
Background: Modern sequencing technologies allow rapid sequencing and bioinformatic analysis of genomes and metagenomes. With every new sequencing project a vast number of new pro...
Uta Bohnebeck, Thierry Lombardot, Renzo Kottmann, ...