Sunil Vadera

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The past decade has seen a significant interest on the problem of inducing decision trees that take account of costs of misclassification and costs of acquiring the features used for decision making. This survey identifies over 50 algorithms including approaches that are direct adaptations of accuracy-based methods, use genetic algorithms, use anytime(More)
Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Artificial intelligence applications for improved software engineering development : new prospects / Farid Meziane and Sunil Vadera,(More)
The validation of data from sensors has be­ come an important issue in the operation and control of modern industrial plants. One ap­ proach is to use know ledge based techniques to detect inconsistencies in measured data. This article presents a probabilistic model for the detection of such inconsistencies. Based on probability propagation, this method is(More)
Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have(More)
The last decade has seen a considerable growth in the use of AI for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations(More)
An important advantages of using a formal method of developing software is that one can prove that development steps are correct with respect to their specification. Conducting proofs by hand, however, can be time consuming to the extent that designers have to judge whether a proof of a particular obligation is worth conducting. Even if hand proofs are(More)
This paper presents a new decision tree learning algorithm that takes account of costs of misclassification. The algorithm is based on the hypothesis that non-linear decision nodes provide a better basis for cost-sensitive induction than axis-parallel decision nodes and utilizes discriminant analysis to construct non-linear cost-sensitive decision trees.(More)
For many real time applications, it is impor­ tant to validate the information received from the sensors before entering higher levels of reasoning. This paper presents an any time probabilistic algorithm for validating the in­ formation provided by sensors. The sys­ tem consists of two Bayesian network mod­ els. The first one is a model of the dependen­(More)