Santanu Rath
Santanu Rath
Professor of Computer Science, National Institute of Technology, NIT Rourkela 769008, Orissa, India
Verified email at nitrkl.ac.in
TitleCited byYear
Classification of sentiment reviews using n-gram machine learning approach
A Tripathy, A Agrawal, SK Rath
Expert Systems with Applications 57, 117-126, 2016
2112016
A survey on one-hop clustering algorithms in mobile ad hoc networks
S Chinara, SK Rath
Journal of Network and Systems Management 17 (1-2), 183-207, 2009
1612009
Classification of Sentimental Reviews Using Machine Learning Techniques
A Tripathy, A Agrawal, SK Rath
Procedia Computer Science 57, 821-829, 2015
982015
Performance comparison of soap and rest based web services for enterprise application integration
S Kumari, SK Rath
2015 International Conference on Advances in Computing, Communications and …, 2015
522015
Classification of microarray using MapReduce based proximal support vector machine classifier
M Kumar, SK Rath
Knowledge-Based Systems 89, 584-602, 2015
342015
Effectiveness of software metrics for object-oriented system
Y Suresh, J Pati, SK Rath
Procedia technology 6, 420-427, 2012
292012
Empirical validation of neural network models for agile software effort estimation based on story points
A Panda, SM Satapathy, SK Rath
Procedia Computer Science 57, 772-781, 2015
272015
A genetic algorithm based approach for test data generation in basis path testing
Y Suresh, SK Rath
arXiv preprint arXiv:1401.5165, 2014
262014
Early stage software effort estimation using random forest technique based on use case points
SM Satapathy, BP Acharya, SK Rath
IET Software 10 (1), 10-17, 2016
252016
Feature selection and classification of microarray data using MapReduce based ANOVA and K-Nearest neighbor
M Kumar, NK Rath, A Swain, SK Rath
Procedia Computer Science 54, 301-310, 2015
242015
Fuzzy-class point approach for software effort estimation using various adaptive regression methods
SM Satapathy, M Kumar, SK Rath
CSI transactions on ICT 1 (4), 367-380, 2013
232013
Energy efficient mobility adaptive distributed clustering algorithm for mobile ad hoc network
S Chinara, SK Rath
2008 16th International Conference on Advanced Computing and Communications …, 2008
232008
Effective fault prediction model developed using least square support vector machine (LSSVM)
L Kumar, SK Sripada, A Sureka, SK Rath
Journal of Systems and Software 137, 686-712, 2018
212018
Document-level sentiment classification using hybrid machine learning approach
A Tripathy, A Anand, SK Rath
Knowledge and Information Systems 53 (3), 805-831, 2017
212017
Story point approach based agile software effort estimation using various svr kernel methods
SM Satapathy, A Panda, SK Rath
202014
TACA: A topology adaptive clustering algorithm for mobile ad hoc network
S Chinara, SK Rath
Bentham Science Publishers, 2009
202009
Investigating the structural linkage between IT capability and organizational agility: A study on Indian financial enterprises
S Panda, SK Rath
Journal of Enterprise Information Management 29 (5), 751-773, 2016
182016
Class point approach for software effort estimation using stochastic gradient boosting technique
SM Satapathy, BP Acharya, SK Rath
ACM SIGSOFT Software Engineering Notes 39 (3), 1-6, 2014
182014
Statistical and machine learning methods for software fault prediction using CK metric suite: a comparative analysis
Y Suresh, L Kumar, SK Rath
ISRN Software Engineering 2014, 2014
182014
Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software
L Kumar, SK Rath
Journal of Systems and Software 121, 170-190, 2016
172016
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