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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
SACMAT
2009
ACM
16 years 1 months ago
Evaluating role mining algorithms
While many role mining algorithms have been proposed in recent years, there lacks a comprehensive study to compare these algorithms. These role mining algorithms have been evaluat...
Ian Molloy, Ninghui Li, Tiancheng Li, Ziqing Mao, ...
IS
2007
15 years 6 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
16 years 7 days ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
ICDE
2006
IEEE
108views Database» more  ICDE 2006»
16 years 8 months ago
On the Inverse Classification Problem and its Applications
In this paper, we discuss the inverse classification problem, in which we desire to define the features of an incomplete record in such a way that will result in a desired class l...
Charu C. Aggarwal, Chen Chen, Jiawei Han