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KAIS
2007
57views more  KAIS 2007»
11 years 6 months ago
A multimodal virtual reality interface for 3D interaction with VTK
Arjan J. F. Kok, Robert van Liere
KAIS
2007
100views more  KAIS 2007»
11 years 6 months ago
Mining gene-sample-time microarray data: a coherent gene cluster discovery approach
Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Li...
KAIS
2007
113views more  KAIS 2007»
11 years 6 months ago
CPU load shedding for binary stream joins
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept ...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
KAIS
2007
58views more  KAIS 2007»
11 years 6 months ago
Knowledge and information distribution leveraged by intelligent agents
Ramón F. Brena, José-Luis Aguirre, C...
KAIS
2007
75views more  KAIS 2007»
11 years 6 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
KAIS
2007
97views more  KAIS 2007»
11 years 6 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
KAIS
2007
95views more  KAIS 2007»
11 years 6 months ago
Handling non-canonical software requirements based on Annotated Predicate Calculus
Eliciting requirements for a proposed system inevitably involves the problem of handling undesirable information about customer’s needs, including inconsistency, vagueness, redun...
Kedian Mu, Zhi Jin, Ruqian Lu, Yan Peng
KAIS
2007
112views more  KAIS 2007»
11 years 6 months ago
The pairwise attribute noise detection algorithm
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Hu...
KAIS
2007
120views more  KAIS 2007»
11 years 6 months ago
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David W...
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