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ICEB
2004
234views Business» more  ICEB 2004»
13 years 11 months ago
A Component-based Framework for Distributed Business Simulations in E-Business Environments
Simulations preserve the knowledge of complex dynamic systems and consequently transfer the knowledge of the cohesions of its elements to a specified target group. As the progress...
Alexander Hampel, Edward Bernroider
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
14 years 10 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
EUROSYS
2006
ACM
14 years 7 months ago
Understanding user behavior in large-scale video-on-demand systems
Video-on-demand over IP (VOD) is one of the best-known examples of “next-generation” Internet applications cited as a goal by networking and multimedia researchers. Without em...
Hongliang Yu, Dongdong Zheng, Ben Y. Zhao, Weimin ...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 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