Open AccessA Heuristic Ranking of Different Characteristic Mining Based Mathematical Formulae Retrieval Models
Author(s) -
K.N.Brahmaji Rao*,
Dr.G. Srinivas,
Dr.Prasad Reddy P.V.G. D.
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9412.109119
Subject(s) - heuristic , ranking (information retrieval) , computer science , cluster analysis , data mining , artificial intelligence , fuzzy logic , sensitivity (control systems) , machine learning , information retrieval , pattern recognition (psychology) , engineering , electronic engineering
The significant difficulty in the present circumstances is how to classify the math related keywords from a given text file and group them in one math file. Through this article a heuristic ranking model was developed and was evaluated on different mathematical formulae retrieval algorithms based on Characteristic mining. Our proposed heuristic ranking model was developed using the performance metrics of exiting retrieval algorithms such as NMF clustering, Levenstein distance, Sequence matcher, Fuzzy-wuzzy and Tensorflow. Performance metrics such as sensitivity, specificity, efficiency, accuracy and retrieval time were used in developing our heuristic ranking model.