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ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 9 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
SIGKDD
2000
96views more  SIGKDD 2000»
15 years 4 months ago
Phenomenal Data Mining: From Data to Phenomena
Phenomenal data mining finds relations between the data and the phenomena that give rise to data rather than just relations among the data. For example, suppose supermarket cash r...
John McCarthy
KDD
2008
ACM
274views Data Mining» more  KDD 2008»
16 years 4 months ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
15 years 10 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
AUSDM
2006
Springer
124views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Analyzing Harmonic Monitoring Data Using Data Mining
Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on ...
Ali Asheibi, David Stirling, Danny Soetanto