A Novel Feature Selection Measure Partnership-Gain
نویسندگان
چکیده
منابع مشابه
Ambiguity measure feature-selection algorithm
With the increasing number of digital documents, the ability to automatically classify those documents both efficiently and accurately is becoming more critical and difficult. One of the major problems in text classification is the high dimensionality of feature space. We present the ambiguity measure (AM) featureselection algorithm, which selects the most unambiguous features from the feature ...
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Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus are two representatives. In general, only exhaustive search can bring about the optimal subset. However, under certain conditions, exhaustive search can be avoided without sacri cing the subset's optimality. One such condit...
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The attribute reduction is one of the key processes for knowledge acquisition. Some data set is multidimensional and larger in size. If that data set is used for classification it may end with wrong results and it may also occupy more resources especially in terms of time. Most of the features present are redundant and inconsistent and affect the classification. In order to improve the efficien...
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Phishing is one of the luring techniques used to exploit personal information. A phishing webpage detection system (PWDS) extracts features to determine whether it is a phishing webpage or not. Selecting appropriate features improves the performance of PWDS. Performance criteria are detection accuracy and system response time. The major time consumed by PWDS arises from feature extraction that ...
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ژورنال
عنوان ژورنال: International Journal of Online and Biomedical Engineering (iJOE)
سال: 2019
ISSN: 2626-8493
DOI: 10.3991/ijoe.v15i04.9831