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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: A Unique approach for data classification using ANN with strengths of feature reduction techniques
Authors Name: Ronak Jain
Unique Id: IJSDR1906061
Published In: Volume 4 Issue 6, June-2019
Abstract: Feature selection has been widely used to reduce the data dimensionality. Data reduction improves the classification performance in terms of speed, accuracy. A strategy to reduce the number of features. My basic idea is that while performing dataset classification, first we have to select attributes for inputs to the algorithm. Then algorithm would perform classification of dataset, but based on features, accuracy of classifiers would be affected. Also if there are several features in a dataset, it’s not necessary that all attributes having same importance in dataset classification. Therefore, we may divide all the attributes of a dataset into two categories: significant and insignificant. Significant means attributes playing key role in data classification and also affecting accuracy significantly. Insignificant is just opposite. Based on this fact we have proposed a generic algorithm which will be able to discover the significant and non-signification list of attributes of any dataset based on results obtained after classification of given dataset. In this way we may reduce attributes of standard datasets. It will reduce complexity of classification without affecting accuracy of classifiers.The results obtained by my work in classification accuracy are superior to obtain by conventional algorithm and other recent feature selection algorithms applied to the same database. By these reasons the proposed method is an interesting alternative to reduce the data dimensionality and provide a high accuracy.
Keywords: Data Reduction, Classification, Accuracy, Data Mining, Backpropagation algorithm.
Cite Article: "A Unique approach for data classification using ANN with strengths of feature reduction techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 6, page no.332 - 339, June-2019, Available :http://www.ijsdr.org/papers/IJSDR1906061.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1906061
Registration ID:190727
Published In: Volume 4 Issue 6, June-2019
DOI (Digital Object Identifier):
Page No: 332 - 339
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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