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SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
10 years 6 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
10 years 6 months ago
The Metric Dilemma: Competence-Conscious Associative Classification.
Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira...
SDM
2009
SIAM
107views Data Mining» more  SDM 2009»
10 years 6 months ago
A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.
Bo Chen, Ivor Tsang, Tak-Lam Wong, Wai Lam
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
10 years 6 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
10 years 6 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
10 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
10 years 6 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
10 years 6 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
SDM
2009
SIAM
126views Data Mining» more  SDM 2009»
10 years 6 months ago
An Entity Based Model for Coreference Resolution.
Recently, many advanced machine learning approaches have been proposed for coreference resolution; however, all of the discriminatively-trained models reason over mentions rather ...
Michael L. Wick, Aron Culotta, Khashayar Rohaniman...
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
10 years 6 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
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