Binary Harmony Search Based Feature Selection and Data Classification Technique
Cite This Article:
Binary Harmony Search Based Feature Selection and Data Classification TechniqueInternational Journal of Innovative Research in Technology( ,ISSN: 2349-6002 ,Volume 6 ,Issue 7 ,Page(s):245-252 ,December 2019 ,Available :IJIRT148914_PAPER.pdf
Binary Harmony Search, Feature Selection, Harmony Search Algorithm
Nowadays data is rapidly growing at an exponential pace. To deal with such data explosion, we need effective data processing and analysis techniques. A most popular machine learning technique namely “feature selection” that plays the most vital role of machine learning technique where it selecting a subset of features from a dataset that still provides most of the useful information. In real-world applications misclassification costs of minority class could be extremely high. Therefore this is the most demanding query especially while the data are too high in dimensionality because of enhance in over-fitting and inferior representation interpretability. Recently Feature selection is one of the most popular way to deal with the trouble by figuring out the features that will be predict best to a minority class.
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Unique Paper ID: 148914

Publication Volume & Issue: Volume 6, Issue 7

Page(s): 245 - 252
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Last Date 25 January 2020

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