Publication Type : Conference Paper
Thematic Areas : Amrita e-Learning Research Lab
Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Source : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Institute of Electrical and Electronics Engineers Inc. (2017)
ISBN : 9781509063673
Keywords : Artificial intelligence, Attribute selection, Classification (of information), Classification algorithm, Classification models, Computation theory, Feature extraction, Feature selection algorithm, Inference engines, Inference methods, Information Gain, Learning algorithms, Learning systems, Principal component analysis, Quality of data, Supervised learning, Two-class classification problems
Campus : Amritapuri
School : School of Engineering
Center : E-Learning
Department : Electrical and Electronics, E-Learning
Year : 2017
Abstract : The success of machine learning (ML) algorithms depends on the quality of data given to them. If the input data contains insufficient or irrelevant features, the accuracy of machine learning algorithm decreases. Attribute selection has a key role in creation of classification models. Based on the 'logic behind the inference' principle in the Nyaya school of thought, this paper proposes a new method - Nyaya Inference Method for Attribute selection and Ranking (NIMAR), for feature selection for the two class classification problem. The Anvayavyatireka Vyapti and hetvabhasa methodologies of the Nyaya school of thought were used for ranking attributes, and removal of irrelevant attributes, respectively. The NIMAR approach showed a remarkable improvement in accuracy compared to the principal component analysis (PCA) method and as good as the Relief feature selection algorithm and the information gain (IG) methods
Cite this Research Publication : K. Seena and Sundaravardhan, R., “Application of Nyaya Inference Method for Feature Selection and Ranking in Classification Algorithms”, in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, 2017.