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CTW
2002
91views more  CTW 2002»
15 years 6 months ago
Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth
DPD
2002
125views more  DPD 2002»
15 years 6 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
JECR
2000
90views more  JECR 2000»
15 years 6 months ago
New Distribution Models for Financial Services: The Italian Banks' Approach to the On Line Trading Development
In recent years, customers' demands on financial services have changed significantly and the number of customers who engage in electronic commerce for financial transactions ...
Franca Cantoni, Cecilia Rossignoli
JGAA
2000
85views more  JGAA 2000»
15 years 6 months ago
Techniques for the Refinement of Orthogonal Graph Drawings
Current orthogonal graph drawing algorithms produce drawings which are generally good. However, many times the quality of orthogonal drawings can be significantly improved with a ...
Janet M. Six, Konstantinos G. Kakoulis, Ioannis G....
SIGKDD
2000
95views more  SIGKDD 2000»
15 years 6 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan
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