Mining of High Dimensional Data using Efficient Feature Subset Selection Clustering Algorithm (WEKA)
نویسندگان
چکیده
منابع مشابه
Mining of High Dimensional Data using Efficient Feature Subset Selection Clustering Algorithm (WEKA)
We exhibited the thought of data mining through the free and open source programming Waikato Environment for Knowledge Analysis (WEKA), which allows you to burrow own data for examples and cases. We moreover depicted about the first methodology for data mining — backslide — which allows you to anticipate a numerical worth for a given set of insight qualities. This method for dismemberment is mo...
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Feature subset selection can be viewed as the process of identifying and removing as many irrelevant and redundant features as possible. This is because irrelevant features do not contribute to the predictive accuracy and redundant features do not redound to getting a better predictor for that they provide mostly information which is already present in other feature(s). The many feature subset ...
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Feature choice involves characteristic a set of the foremost helpful options that produces compatible results because the original entire set of options. A feature choice rule is also evaluated from each the potency and effectiveness points of read. Whereas the potency considerations the time needed to search out a set of options, the effectiveness is expounded to the standard of the set of opt...
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Feature selection involves the process of identifying the most useful feature's subset which produces compatible results similar to original set of feature. Efficiency and effectiveness are the two measures to evaluate feature selection algorithm. The time to find the cluster concerns to efficiency, while effectiveness is concerned to quality of subset feature. With these criteria, fast cl...
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Feature selection involves the process of identifying the most useful feature's subset which produces compatible results similar to original set of feature. Efficiency and effectiveness are the two measures to evaluate feature selection algorithm. The time to find the cluster concerns to efficiency, while effectiveness is concerned to quality of subset feature. With these criteria, fast cl...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18753-0009