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PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
15 years 5 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
PR
2010
186views more  PR 2010»
15 years 5 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
PVLDB
2010
97views more  PVLDB 2010»
15 years 5 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande
PVLDB
2010
126views more  PVLDB 2010»
15 years 5 months ago
Set Similarity Join on Probabilistic Data
Set similarity join has played an important role in many real-world applications such as data cleaning, near duplication detection, data integration, and so on. In these applicati...
Xiang Lian, Lei Chen 0002
SCIENTOMETRICS
2010
109views more  SCIENTOMETRICS 2010»
15 years 5 months ago
To publish or not to publish? On the aggregation and drivers of research performance
This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the...
Kristof De Witte, Nicky Rogge
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