Heuristic-based feature selection for rough set approach
نویسندگان
چکیده
منابع مشابه
Audio Feature Selection Based on Rough Set
Keeping audio features is important for audio index. However, in most cases the features number is huge, thus direct processing is time-consuming. Feature selection, as a preprocessing step of data mining, has turned to be very efficient in reducing dimensionality and removing irrelevant data. In this paper, we propose a feature selection algorithm based on Rough Set theory, which could find ou...
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Rough set theory (RST) was proposed as a mathematical tool to deal with the analysis of imprecise, uncertain or incomplete information or knowledge. It is of fundamental importance to artificial intelligence particularly in the areas of knowledge discovery, machine learning, decision support systems, and inductive reasoning. At the heart of RST is the idea of only employing the information cont...
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Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain) are computationally expensive. We previously showed that, on one dataset, a rough set feature selection algorithm can reduce computational complexity without sacrificing task performance. Here we test the generality ...
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Extracting useful information from a huge data collection is an important and challenging issue. Feature selection (FS) refers to the problem of selecting minimal relevant features which produce the most predictive outcome and retaining the original meaning of the features after reduction. One of the successful techniques for feature selection from datasets is the rough set theory (RST). This p...
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`Feature selection aims to remove features unnecessary to the target concept. Rough-set theory (RST) eliminates unimportant or irrelevant features, thus generating a smaller (than the original) set of attributes with the same, or close to, classificatory power. Clustering, also a form of data grouping, groups a set of data such that intra-cluster similarity is maximized and inter-cluster simila...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2020
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2020.07.005