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» Learning Bayesian Networks from Incomplete Databases
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 11 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
BIBE
2004
IEEE
14 years 2 months ago
Identifying the Combination of Genetic Factors that Determine Susceptibility to Cervical Cancer
Cervical cancer is common among women all over the world. Although infection with high-risk types of human papillomavirus (HPV) has been identified as the primary cause of cervical...
Jorng-Tzong Horng, Kai-Chih Hu, Li-Cheng Wu, Hsien...
JAIR
2010
145views more  JAIR 2010»
13 years 9 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
GIS
2009
ACM
14 years 5 months ago
Proximate sensing using georeferenced community contributed photo collections
Volunteered geographic information such as that available in blogs, wikis, social networking sites, and community contributed photo collections is enabling new applications. This ...
Daniel Leung, Shawn Newsam
HICSS
2000
IEEE
169views Biometrics» more  HICSS 2000»
14 years 3 months ago
A Software System for Spatial Data Analysis and Modeling
Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known ...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic