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"3 IJAERS JAN 2016 11 Feature Selection For Cancer Classification Using Relative Decision Entropy" and the language of the book is English.


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  • Title: ➤  3 IJAERS JAN 2016 11 Feature Selection For Cancer Classification Using Relative Decision Entropy
  • Language: English

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  • Internet Archive ID: ➤  3IJAERSJAN201611FeatureSelectionForCancerClassificationUsingRelativeDecisionEntropy

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<p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify;background:#ffffff;"><i><span style="font-size:10pt;line-height:115%;font-family:'Times New Roman', serif;color:#000000;" lang="en-us" xml:lang="en-us">Features are the basis on which grouping is done to produce accurate results. The main goal of the feature selection is to determine the minimal features that are more efficient and could render high accuracy when compared with the whole set of features. Rough sets could only be considered as the effective tool for feature selection. Nowadays feature selection algorithms based on rough sets are prevailing. When they are considered on some analysis, it reveals that they could make high cost and much time to be worked out, as it suffers from intensive and exponential computation.<span>  </span>For the purpose of eliminating the disadvantagesof these existing algorithms, a new algorithm called Feature Selection Models with Relative Decision Entropy is proposed. This algorithm is mainly based on roughness and degree of dependency, that includes both positive and boundary region calculation. It implies that this algorithm could provide good scalability for large data sets and lessens the cost along with the computation time.</span></i></p>

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