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ICDM
2010
IEEE
99views Data Mining» more  ICDM 2010»
15 years 4 months ago
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadoll...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
16 years 8 days ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
FGCS
2007
160views more  FGCS 2007»
15 years 6 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
HCI
2009
15 years 4 months ago
Visual Data Mining in Immersive Virtual Environment Based on 4K Stereo Images
In this study, super high-definition immersive visual data mining environment using 4K stereo projector was developed. In this system, data can be represented with high accuracy in...
Tetsuro Ogi, Yoshisuke Tateyama, So Sato
JUCS
2006
102views more  JUCS 2006»
15 years 6 months ago
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table
Abstract: In this paper, we survey efforts devoted to discovering interesting exceptions from data in data mining. An exception differs from the rest of data and thus is interestin...
Einoshin Suzuki