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Feature selection reduces a data set into a subset which also represents the entire data with less computational complexity and performance does not affect much. However, to extract such a subset is a nontrivial task although there are a number of methods to handle this problem. In the near past an approach based on rough set have been used for feature selection. The dependency measure is one of the...
Considering today's surge of information, the need for well organized knowledge bases is increasing rapidly for providing simplified access to knowledge and its further processing. In biomedical domain, heaps of information is buried in scientific publications and online forums. This calls for representing this information in a more expressive semantic way by determining and storing relational information...
Biomedical ontologies are being developed in a great quantity since the last decade. Due to the complex structure of ontologies and difficult terminologies of biomedical domain, the evaluation of these ontologies turns out to be a challenging task. It is utmost need of current ontology researchers and developers to evaluate the quality of these biomedical ontologies so that the applicability and reuse...
Software architecture is the bridge between business goal and software system. Choosing and designing an architecture that satisfies the functional as well as the quality attribute requirements (reliability, security and performance, etc.) is vital to the success of the system. This applies equally to any application domains of computer software e.g. Artificial Intelligence Application, Embedded Software,...
Feature selection reduces a data set into a subset which also represents the entire data with less computational complexity and performance does not affect much. However, to extract such a subset is a nontrivial task, although there are a number of methods to handle this problem. In the near past an approach based on rough set has been used for feature selection. The dependency measure is one of the...
Named entity recognition, a task that represents atomicity as well as granularity is a first step in any language processing system. The advent in typological orientation of literature or text and its availability in the form of annotated and un-annotated corpora have led to a continued research effort directed towards achievement of yet an optimized algorithmic evolution for identifying named entities...
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