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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 2 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
93
Voted
MICCAI
2010
Springer
14 years 11 months ago
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or...
Johannes Feulner, Shaohua Kevin Zhou, Martin Huber...
149
Voted
SPLC
2000
15 years 1 months ago
Development/maintenance/reuse: software evolution in product lines
The evolution tree model is a two-dimensional model that describes how the versions of the artifacts of a software product evolve. The propagation graph is a data structure that c...
Stephen R. Schach, Amir Tomer
96
Voted
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 2 months ago
Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...
200
Voted
GIS
2008
ACM
16 years 1 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...