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» An overview of clustering methods
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NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 6 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
JAMIA
2011
68views more  JAMIA 2011»
14 years 9 months ago
A secure protocol for protecting the identity of providers when disclosing data for disease surveillance
Background Providers have been reluctant to disclose patient data for public-health purposes. Even if patient privacy is ensured, the desire to protect provider confidentiality h...
Khaled El Emam, Jun Hu, Jay Mercer, Liam Peyton, M...
ICDE
2012
IEEE
237views Database» more  ICDE 2012»
13 years 9 months ago
On Discovery of Traveling Companions from Streaming Trajectories
— The advance of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data stream. In this study, we investigate the pro...
Lu An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice...
ICML
2002
IEEE
16 years 7 months ago
Syllables and other String Kernel Extensions
During the last years, the use of string kernels that compare documents has been shown to achieve good results on text classification problems. In this paper we introduce the appl...
Craig Saunders, Hauke Tschach, John Shawe-Taylor
KDD
2002
ACM
112views Data Mining» more  KDD 2002»
16 years 7 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...