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SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
14 years 1 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh
SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
14 years 1 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 1 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
14 years 1 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
14 years 1 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 1 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
14 years 1 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»
14 years 1 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»
14 years 1 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»
14 years 1 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