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The amount of electronic data avalaible is growing very fast and this explosive growth in databases has generated a need for new techniques and tools that can intelligently and automatically extract implicit, previously unknown, hidden and potentially useful information and knowledge from these data. These tools and techniques are the subject of the field of Knowledge Discovery in Databases. In this...
This article investigates whether an innovatory fuzzy set approach to the syntactic analysis of natural language can service to the information retrieval systems. It concentrates on Web search as the internet becomes a vast resource of information. In addition, the article presents a syntactic analysis module of TORCH project where the fuzzy set disambiguation has been implemented and tested.
The paper presented the applications of quantitive structure-activity relationships (QSAR) in environmental chemistry and toxicology. In this study, statistical and rough set methods have been applied to the development of QSAR models for estimating the acute aquatic toxicity of selected chemical compounds. Physicochemical and topostructural indices were used as properties relevant to the assessment...
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