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» Testing the significance of attribute interactions
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KDD
2005
ACM
142views Data Mining» more  KDD 2005»
14 years 9 months ago
Towards exploratory test instance specific algorithms for high dimensional classification
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
Charu C. Aggarwal
KES
2008
Springer
13 years 8 months ago
Fuzzy diagnosis of turbomachines
This paper presents a fuzzy knowledge-based system for turbomachinery diagnosis. Given symptoms associated with a vibration problem, the system can identify and rank possible cause...
Meijun Yang, Qiang Shen
SSDBM
2003
IEEE
105views Database» more  SSDBM 2003»
14 years 2 months ago
Using Bitmap Index for Interactive Exploration of Large Datasets
Many scientific applications generate large spatiotemporal datasets. A common way of exploring these datasets is to identify and track regions of interest. Usually these regions ...
Kesheng Wu, Wendy S. Koegler, Jacqueline Chen, Ari...
BICOB
2009
Springer
14 years 24 days ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 8 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb