Umadevi V

Work place: B.M.S College of Engineering, Bengaluru, India



Research Interests: Medical Informatics


Dr. Umadevi V obtained her Ph.D from IIT Madras and currently working as Associate Professor and Head for Computer science and engineering Department at B.M.S. college of Engineering, Bengaluru. She has published her work in many reputed international conferences and also published many articles in leading journals with well known publishers (Elsevier etc.,). She served as resource person for many Workshops and Faculty development programs. Recently she got international grants from Amoudi Scientific Research Foundation of Majmaah University, Kingdom of Saudi Arabia to conduct research in the area of Medical Thermography.

Author Articles
Ferrer diagram based partitioning technique to decision tree using genetic algorithm

By Pavan Sai Diwakar Nutheti Narayan Hasyagar Rajashree Shettar Shankru Guggari Umadevi V

DOI:, Pub. Date: 8 Feb. 2020

Decision tree is a known classification technique in machine learning. It is easy to understand and interpret and widely used in known real world applications. Decision tree (DT) faces several challenges such as class imbalance, overfitting and curse of dimensionality. Current study addresses curse of dimensionality problem using partitioning technique. It uses partitioning technique, where features are divided into multiple sets and assigned into each block based on mutual exclusive property. It uses Genetic algorithm to select the features and assign the features into each block based on the ferrer diagram to build multiple CART decision tree. Majority voting technique used to combine the predicted class from the each classifier and produce the major class as output. The novelty of the method is evaluated   with 4 datasets from UCI repository and shows approximately 9%, 3% and 5% improvement as compared with CART, Bagging and Adaboost techniques.

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