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» Using Clustering Methods for Discovering Event Structures
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DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 3 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
JMLR
2010
157views more  JMLR 2010»
13 years 3 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
SAC
2009
ACM
14 years 1 months ago
Discovering XML keys and foreign keys in queries
The XML has undoubtedly become a standard for data representation and manipulation. But most of XML documents are still created without the respective description of their structu...
Martin Necaský, Irena Mlýnková...
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 5 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 9 months ago
Exploring the community structure of newsgroups
d Abstract] Christian Borgs Jennifer Chayes Mohammad Mahdian Amin Saberi We propose to use the community structure of Usenet for organizing and retrieving the information stored i...
Christian Borgs, Jennifer T. Chayes, Mohammad Mahd...