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ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 7 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
ICDM
2010
IEEE
130views Data Mining» more  ICDM 2010»
13 years 7 months ago
Using Taxonomies to Perform Aggregated Querying over Imprecise Data
-- In this paper, we put forward our approach for answering aggregated queries over imprecise data using domain specific taxonomies. A new concept we call the weighted hierarchical...
Atanu Roy, Chandrima Sarkar, Rafal A. Angryk
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
13 years 7 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
ICDM
2010
IEEE
148views Data Mining» more  ICDM 2010»
13 years 7 months ago
Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments
Abstract--This paper presents a similarity measure that combines low-level trajectory information with geographical domain knowledge to compare vessel trajectories. The similarity ...
Gerben de Vries, Willem Robert van Hage, Maarten v...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 7 months ago
Anonymizing Temporal Data
-- Temporal data are time-critical in that the snapshot at each timestamp must be made available to researchers in a timely fashion. However, due to the limited data, each snapshot...
Ke Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-C...