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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
16 years 9 days ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
SAC
2005
ACM
16 years 7 days ago
Time-varying, multivariate volume data reduction
Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale si...
Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens
ICDCS
2007
IEEE
15 years 10 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal
LREC
2010
178views Education» more  LREC 2010»
15 years 8 months ago
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Ondrej Bojar, Pavel Stranák, Daniel Zeman
FLAIRS
2001
15 years 8 months ago
Detection of Inconsistencies in Complex Product Configuration Data Using Extended Propositional SAT-Checking
We present our consistency support tool BIS, an extension to the electronic product data management system (EPDMS) used at DaimlerChrysler AG to configure the Mercedes lines of pa...
Carsten Sinz, Andreas Kaiser, Wolfgang Küchli...