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» Discovering Case Knowledge Using Data Mining
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DICTA
2009
13 years 10 months ago
Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
Abstract--The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the...
Ruan Lakemond, Clinton Fookes, Sridha Sridharan
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 9 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
IKE
2004
13 years 10 months ago
N-Codes: A Computerized Decision Support System for Acute Care Nursing
-. This paper describes the development of N-Codes, a system to deliver current clinical knowledge to the nurse clinician via an off-the-shelf handheld computer using wireless acce...
Howard E. Michel, Nancy M. Dluhy, Paul J. Fortier,...
WEBI
2004
Springer
14 years 2 months ago
An Integrated Approach to Discovery in Complex Information Spaces
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Daryl H. Hepting, Cory J. Butz
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 9 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson