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» Fitting ST-OWA Operators to Empirical Data
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KDD
1998
ACM
123views Data Mining» more  KDD 1998»
13 years 10 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
ICTAI
2005
IEEE
13 years 11 months ago
Determining the Optimal Number of Clusters Using a New Evolutionary Algorithm
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
COMCOM
2004
145views more  COMCOM 2004»
13 years 5 months ago
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
In a previous work we have introduced a multifractal traffic model based on so-called stochastic L-Systems, which were introduced by biologist A. Lindenmayer as a method to model ...
Paulo Salvador, António Nogueira, Rui T. Va...
DASC
2006
IEEE
13 years 12 months ago
Assessing Vulnerabilities in Apache and IIS HTTP Servers
We examine the feasibility of quantitatively characterizing the vulnerabilities in the two major HTTP servers. In particular, we investigate the applicability of quantitative empi...
Sung-Whan Woo, Omar H. Alhazmi, Yashwant K. Malaiy...
EMNLP
2010
13 years 3 months ago
Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elici...
Ekaterina Buyko, Udo Hahn