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141
Voted
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 5 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
131
Voted
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
16 years 4 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
111
Voted
ICDM
2006
IEEE
173views Data Mining» more  ICDM 2006»
15 years 9 months ago
Trajectory Analysis for Soccer Players
In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful infor...
Chan-Hyun Kang, Jung-Rae Hwang, Ki-Joune Li
145
Voted
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
15 years 9 months ago
Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
We present a algorithm based on factor analysis for performing collaborative quality filtering (CQF). Unlike previous approaches to CQF, which estimate the consensus opinion of a...
Jonathan Traupman, Robert Wilensky
135
Voted
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 2 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...