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» Hybrid Learning Scheme for Data Mining Applications
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VISSYM
2007
13 years 10 months ago
Dimensional Congruence for Interactive Visual Data Mining and Knowledge Discovery
Many authors in the field of 3D human computer interaction have described the advantages of 3D user interfaces: Intuitive metaphors from daily life, immersive workspaces, virtual ...
Sebastian Baumgärtner, Achim Ebert, Matthias ...
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
WKDD
2010
CPS
238views Data Mining» more  WKDD 2010»
13 years 5 months ago
3D Scientific Data Mining in Ion Trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. ...
J. M. Sharif, M. Mahadi Abdul Jamil, Md. Asri Ngad...
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 12 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang