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» Hybrid Learning Scheme for Data Mining Applications
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WWW
2005
ACM
14 years 8 months ago
The classroom sentinel: supporting data-driven decision-making in the classroom
Whereas schools typically record mounds of data regarding student performance, attendance, and other behaviors over the course of a school year, rarely is that data consulted and ...
Mark K. Singley, Richard B. Lam
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 9 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
14 years 2 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 8 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 8 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...