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Using Supervised Clustering to Enhance Classifiers

M.-S. Hacid et al. (Eds.): ISMIS 2005, LNAI 3488, pp. 248-256, 2005. © Springer-Verlag Berlin Heidelberg 2005 Using Supervised Clustering to Enhance Classifiers Christoph F. Eick and Nidal Zeidat Department of Computer Science, University of Houston, Houston, TX 77204-3010, USA {ceick, nzeidat ...

Supervised Clustering - Algorithms and Benefits

Christoph F. Eick, Nidal Zeidat, and Zhenghong Zhao Department of Computer Science, University of Houston {ceick, nzeidat, zhenzhao}@cs.uh. edu

Supervised Clustering - Algorithms and Benefits

1 Supervised Clustering - Algorithms and Benefits Christoph F. Eick, Nidal Zeidat, and Zhenghong Zhao Department of Computer Science, University of Houston Houston, Texas 77204-3010 {ceick, nzeidat, zhenzhao}@cs.uh. edu Abstract.

Supervised Clustering: Algorithms and Application

Supervised Clustering: Algorithms and Application Nidal Zeidat, Christoph F. Eick, and Zhenghong Zhao Department of Computer Science, University of Houston, Houston, Texas 77204-3010 {ceick, nzeidat, zhenzhao}@cs. uh. edu submitted to PAMI on May 23, 2006 ABSTRACT This work centers on a novel ...

Supervised Clustering: Algorithms and Application

Supervised Clustering: Algorithms and Application Nidal Zeidat, Christoph F. Eick, and Zhenghong Zhao Department of Computer Science, University of Houston Houston, Texas 77204-3010 {ceick, nzeidat, zhenzhao}@cs.uh. edu ABSTRACT This work centers on a novel data mining technique we term ...

Dataset Editing Techniques: A Comparative Study

Dataset Editing Techniques: A Comparative Study Nidal Zeidat, Sujing Wang, and Christoph F. Eick Department of Computer Science, University of Houston Houston, Texas, USA {nzeidat, sujingwa, ceick}@cs.uh.edu Abstract.

Intra-arterial thrombolysis in 24 consecutive patients with ...

Zeidat 15 7 (ia)/3 (combined iv, ia) 5 (50) Not indicated 3 (30), (survivors) Present study 24 (ia) 15 (63) 0 (0) 4 (17), (RS <2) *In the original article recanalisation is indicated as “almost complete”.

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