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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...
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
15 years 7 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
AUSDM
2007
Springer
144views Data Mining» more  AUSDM 2007»
15 years 10 months ago
An Empirical Study of Similarity Search in Stock Data
Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data ef...
Lay-Ki Soon, Sang Ho Lee
AUSDM
2006
Springer
124views Data Mining» more  AUSDM 2006»
15 years 7 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
SIGKDD
2000
96views more  SIGKDD 2000»
15 years 3 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