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BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
CGF
2008
100views more  CGF 2008»
14 years 9 months ago
Density Displays for Data Stream Monitoring
In many business applications, large data workloads such as sales figures or process performance measures need to be monitored in real-time. The data analysts want to catch proble...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Danie...
COR
2010
121views more  COR 2010»
14 years 9 months ago
A multi-objective approach for robust airline scheduling
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
Edmund K. Burke, Patrick De Causmaecker, Geert De ...
CSCW
2008
ACM
14 years 9 months ago
Context-linked virtual assistants for distributed teams: an astrophysics case study
There is a growing need for distributed teams to analyze complex and dynamic data streams and make critical decisions under time pressure. Via a case study, we discuss potential g...
Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon...
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ENVSOFT
2008
55views more  ENVSOFT 2008»
14 years 9 months ago
A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index
In this study we investigated the perspective offered by coupling a simple vegetation growth model and ground-based remotely-sensed data for the monitoring of wheat production. A ...
Benoît Duchemin, Philippe Maisongrande, Gill...