Knowledge Discovery in Classification and Distribution of Butterfly Species From Dagon University Campus, Myanmar by Rule Induction CN2 Algorithm

Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The CN2 induction algorithm is a learning algorithm for rule induction. In this research, "The Fauna of British India, Ceylon and Burma. Butterflies. Vol. I and Vol. II" written by C.T Bingham are used as the required knowledge for the resource. This research applies the CN2 algorithm to discover the knowledge of butterfly species rules for classification from Dagon University campus and a system has also developed. In this system, 29 butterflies as a zoological dataset, MS Visual Studio 2012 as a programming tool and MS SQL Server as for database development are used. 

by Su Myo Swe | Khin Myo Sett "Knowledge Discovery in Classification and Distribution of Butterfly Species From Dagon University Campus, Myanmar by Rule Induction: CN2 Algorithm"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd26380.pdf 

Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/26380/knowledge-discovery-in-classification-and-distribution-of-butterfly-species-from-dagon-university-campus-myanmar-by-rule-induction-cn2-algorithm/su-myo-swe

call for paper Food Engineering, international journal Nuclear Engineering, ugc approved journals for engineering