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» Using Problems to Learn Service-Oriented Computing
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SAC
2006
ACM
15 years 11 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto
ICCV
1999
IEEE
15 years 9 months ago
A Subset Approach to Contour Tracking in Clutter
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Daniel Freedman, Michael S. Brandstein
ECML
2006
Springer
15 years 8 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham
SAJ
2000
80views more  SAJ 2000»
15 years 4 months ago
Handling diversity in group Work in the information systems class
Tertiary institutions in South Africa are faced with dealing with diversity in all its forms in our classrooms. Information Systems, Information Technology and Computer Science st...
T. Thomas, C. De Villiers
HPDC
2008
IEEE
15 years 11 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton