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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 8 days ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
DEXA
2001
Springer
112views Database» more  DEXA 2001»
15 years 2 months ago
An Information-Driven Framework for Image Mining
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
Ji Zhang, Wynne Hsu, Mong-Li Lee
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 3 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
MSR
2005
ACM
15 years 3 months ago
Recovering system specific rules from software repositories
One of the most successful applications of static analysis based bug finding tools is to search the source code for violations of system-specific rules. These rules may describe h...
Chadd C. Williams, Jeffrey K. Hollingsworth
HICSS
2008
IEEE
119views Biometrics» more  HICSS 2008»
15 years 4 months ago
Tree Mining in Mental Health Domain
The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental ...
Maja Hadzic, Fedja Hadzic, Tharam S. Dillon