Satchidananda Dehuri

Satchidananda Dehuri is a Director of Center for Distance and Continuing Education, Fakir Mohan University, Vyasa Vihar, Balasore,Odisha. He received his M.Sc. degree in Mathematics from Sambalpur University, Odisha in 1998, and the M.Tech. and Ph.D. degrees in Computer Science from Utkal University, Vani Vihar, Odisha in 2001 and 2006, respectively. He completed his Post Doctoral Research in Soft Computing Laboratory, Yonsei University, Seoul, Korea under the BOYSCAST Fellowship Program of DST, Govt. of India. In 2010 he received Young Scientist Award in Engineering and Technology for the year 2008 from Odisha Vigyan Academy, Department of Science and Technology, Govt. of Odisha. He was at the Center for Theoretical Studies, Indian Institute of Technology Kharagpur as a Visiting Scholar in 2002. During May-June 2006 he was a Visiting Scientist at the Center for Soft Computing Research, Indian Statistical Institute, Kolkata. His research interests include Evolutionary Computation and Data Mining. He has already published about 100 research papers in reputed journals and referred conferences, has published three text books for undergraduate and Post graduate students and edited five books, and is acting as an editorial member of various journals. He has already guided 2 Ph. D. scholars in the area of Computer Science.

Publications

Ant Miner: A Hybrid Pittsburgh Style Classification Rule Mining Algorithm
Ant Miner: A Hybrid Pittsburgh Style Classification Rule Mining Algorithm
Bijaya Kumar Nanda, Satchidananda Dehuri. © 2020. 15 pages.
In data mining the task of extracting classification rules from large data is an important task and is gaining considerable attention. This article presents a novel ant miner for...
Higher Order Neural Network for Financial Modeling and Simulation
Higher Order Neural Network for Financial Modeling and Simulation
Partha Sarathi Mishra, Satchidananda Dehuri. © 2017. 28 pages.
Financial market creates a complex and ever changing environment in which population of investors are competing for profit. Predicting the future for financial gain is a...
Higher Order Neural Network for Financial Modeling and Simulation
Higher Order Neural Network for Financial Modeling and Simulation
Partha Sarathi Mishra, Satchidananda Dehuri. © 2016. 27 pages.
Financial market creates a complex and ever changing environment in which population of investors are competing for profit. Predicting the future for financial gain is a...
Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods
Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods
Satchidananda Dehuri, Manas Ranjan Patra, Bijan Bihari Misra, Alok Kumar Jagadev. © 2013. 350 pages.
Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they...
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem
Rahul Roy, Satchidananda Dehuri, Sung Bae Cho. © 2013. 16 pages.
The Combinatorial problems are real world decision making problem with discrete and disjunctive choices. When these decision making problems involve more than one conflicting...
A New Approach to Associative Classification Based on Binary Multi-Objective Particle Swarm Optimization
A New Approach to Associative Classification Based on Binary Multi-Objective Particle Swarm Optimization
Madhabananda Das, Rahul Roy, Satchidananda Dehuri, Sung-Bae Cho. © 2013. 23 pages.
Associative classification rule mining (ACRM) methods operate by association rule mining (ARM) to obtain classification rules from a previously classified data. In ACRM...
Revisiting Recommendation Systems: Development, Lacunae, and Proposal for Hybridization
Revisiting Recommendation Systems: Development, Lacunae, and Proposal for Hybridization
Sagarika Bakshi, Sweta Sarkar, Alok Kumar Jagadev, Satchidananda Dehuri. © 2013. 23 pages.
Recommender systems are applied in a multitude of spheres and have a significant role in reduction of information overload on those websites that have the features of voting....
Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer
Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer
Satchidananda Dehuri, Sung-Bae Cho. © 2012. 17 pages.
This paper proposes an algorithm for classification by learning fuzzy network with a sequence bound global particle swarm optimizer. The aim of this work can be achieved in two...
Functional Link Artificial Neural Networks for Software Cost Estimation
Functional Link Artificial Neural Networks for Software Cost Estimation
B. Tirimula Rao, Satchidananda Dehuri, Rajib Mall. © 2012. 21 pages.
Software cost estimation is the process of predicting the effort required to develop a software system. Software development projects often overrun their planned effort as...
A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization
A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization
Madhabananda Das, Rahul Roy, Satchidananda Dehuri, Sung-Bae Cho. © 2011. 23 pages.
Associative classification rule mining (ACRM) methods operate by association rule mining (ARM) to obtain classification rules from a previously classified data. In ACRM...
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem
Rahul Roy, Satchidananda Dehuri, Sung Bae Cho. © 2011. 17 pages.
The Combinatorial problems are real world decision making problem with discrete and disjunctive choices. When these decision making problems involve more than one conflicting...
A Theoretical and Empirical Study of Functional Link Neural Networks (FLANNs) for Classification
A Theoretical and Empirical Study of Functional Link Neural Networks (FLANNs) for Classification
Satchidananda Dehuri, Sung-Bae Cho. © 2010. 29 pages.
In this chapter, the primary focus is on theoretical and empirical study of functional link neural networks (FLNNs) for classification. We present a hybrid Chebyshev functional...