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COMPSAC
2008
IEEE
14 years 3 months ago
Behavioral Dependency Measurement for Change-Proneness Prediction in UML 2.0 Design Models
During the development and maintenance of ObjectOriented (OO) software, the information on the classes which are more prone to be changed is very useful. Developers and maintainer...
Ah-Rim Han, Sang-Uk Jeon, Doo-Hwan Bae, Jang-Eui H...
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
14 years 3 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 3 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 9 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 1 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles