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IPPS
1999
IEEE
15 years 10 months ago
High-Performance Knowledge Extraction from Data on PC-Based Networks of Workstations
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...
CCGRID
2010
IEEE
15 years 7 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
176
Voted
GI
2009
Springer
15 years 4 months ago
Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data
Abstract: GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test pe...
Michael May, Christine Körner, Dirk Hecker, M...
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 6 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
16 years 1 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...