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<p><strong>An Optimized Approach for Feature Extraction in Multi-Relational Statistical Learning</strong></p>

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Title Statement <p><strong>An Optimized Approach for Feature Extraction in Multi-Relational Statistical Learning</strong></p>
 
Added Entry - Uncontrolled Name Bakshi, Garima ; Sushant University, Gurugram, India
Shukla, Rati ; GIS Cell, MNNIT Prayagraj, Allahabad, India
Yadav, Vikash ; ABES Engineering College, Ghaziabad, Uttar Pradesh
Dahiya, Aman ; Maharaja Surajmal Institute of Technology, New Delhi, India
Anand, Rohit ; G B Pant Engineering College, New Delhi, India
Sindhwani, Nidhi ; ASET Delhi, Amity University, Noida, India
Singh, Harinder ; 7Sant Baba Attar Singh Khalsa College, Sandaur, Punjab, India
 
Uncontrolled Index Term Classification-type approach, Data mining, Feature space, Statistical model, Support Vector Machine
 
Summary, etc. <p>Various features come from relational data often used to enhance the prediction of statistical models. The features increases as the feature space increases. We proposed a framework, which generates the features for feature selection using support vector machine with (1) augmentation of relational concepts using classification-type approach (2) various strategy to generate features. Classification are used to increase the productivity of feature space by adding new techniques used to create new features and lead to enhance the accuracy of the model. The feature generation in run-time lead to the building of models with higher accuracy despite generating features in advance. Our results in different applications of data mining in different relations are far better from existing results.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-09-08 17:25:39
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/43632
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 80, ##issue.no## 6 (2021): Journal of Scientific and Industrial Research
 
Language Note en