Empirical analysis of inductive knowledge acquisition methods
ACM SIGART Bulletin - Special issue on knowledge acquisition
Verification and normalization of sentences
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
DIRECT: a system for mining data value conversion rules from disparate data sources
Decision Support Systems
Experiments with a social learning model
Adaptive Behavior
Toward a scoring function for quality-driven machine translation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Automated testing of stochastic systems: a statistically grounded approach
Proceedings of the 2006 international symposium on Software testing and analysis
Filtering speaker-specific words from electronic discussions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A comparison of the behavior of different customer clusters towards Internet bookstores
Information and Management
Combining schema and instance information for integrating heterogeneous data sources
Data & Knowledge Engineering
Automated regression-based statistical downscaling tool
Environmental Modelling & Software
Instance weighting versus threshold adjusting for cost-sensitive classification
Knowledge and Information Systems
Towards logistic regression models for predicting fault-prone code across software projects
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
F-and-B'10 Proceedings of the 3rd WSEAS international conference on Finite differences - finite elements - finite volumes - boundary elements
An extended tuning method for cost-sensitive regression and forecasting
Decision Support Systems
Pattern Recognition Letters
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
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From the Publisher:Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory and neglect explaining how to perform and interpret multivariate analyses on real-life data. For years, Afifi and Clark's Computer-Aided Multivariate Analysis has been a welcome exception, helping researchers choose the appropriate analyses for their data, carry them out and interpret the results. Only a limited knowledge of statistics is assumed and geometrical and graphical explanations are used to explain what the analyses do. However the basic model is always given and assumptions are discussed. In this edition the computer emphasis is enhanced by the inclusion of three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. This third edition contains a new chapter on log-linear analysis of multi-way frequency tables. The new edition will be useful to professionals, researchers and students in a wide range of fields ranging from psychology, sociology and physical sciences to public health and biomedical science.