This study attempted to clarify the factors that lead to an applicant receiving a job offer, by applying text mining to feedback comment of notification form from recruiters. The analysis identified experience as the most salient factor. However, there were frequent cases in which the applicant was rejected despite the evaluation of experience being positive, or hired despite the evaluation of ...

We would like to comment on this article by William DuMouchel, as it gives an interesting application of logistic regression to clinical safety data. Not to underscore the scope of the multivariate Bayesian logistic regression (MBLR) model, but the use of numerical integration is arguably its most important feature. Avoiding Markov chain Monte Carlo (MCMC) sampling techniques for other data-min...

This paper provides a uniform semantic framework for Topic-Comment Structures in Chinese. It is assumed that the topic element relates to an anaphor occuring in the comment. The comment which contains an unresolved anaphor is semantically underspecified. The semantic interpretation of topic-comment constructions results from the resolution of the anaphoric relation between topic and comment. In...

The healthy development of community elderly care service is very important. Studying the quality evaluation services and establishing a complete, scientific, objective method can establish online reputation enterprises help users obtain cost-effective services. This important for development. paper puts forward new model service. based on designed, constructed, system developed. From aspects r...

one of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. after choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could be economically impossible. choosing a mining method depends on the geological and geometrical c...

We are pleased to introduce a selection of the papers presented at the 1998 workshop on `Causal Networks from Inference to Data Mining', CaNew '98, [59]. This workshop was initiated from the feeling, shared by the organizers and co-chairs, that the ®eld of Bayesian and, in general, Causal Networks deserved special attention from the international research community. We had a growing feeling tha...

les figures mythiques ou légendaires s’adaptent à chaque époque et en chaque lieu. cet article tente de montrer comment constance pipelet, future princesse de salm (1767-1845), une des filles des lumières et admiratrice des idéaux de la révolution française, se sert du récit de la vie de sapho, grande poétesse de l’antiquité, pour proposer une sapho qui est aussi amoureuse, éplorée et trahie qu...

We are investigating the ability to data mine fuzzy tuples, which are often utilized to represent uncertainty about the registered information. We discuss different aspects of fuzzy databases and comment on practical advantages of the model we utilized in our research. Motivated by a well known technique called Attribute-Oriented Induction, which has been developed for summarization of ordinary...

In order to successfully apply opinion mining (OM) to the large amounts of usergenerated content produced every day, we need robust models that can handle the noisy input well yet can easily be adapted to a new domain or language. We here focus on Opinion Mining for YouTube by (i) modeling classifiers that predict the type of a comment and its polarity, while distinguishing whether the polarity...