Santanu Kumar Rath
Santanu Kumar Rath
Professor of Computer Science and Engg. dept., National Institute of Technology, NIT Rourkela 769008
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Cited by
Cited by
Classification of sentiment reviews using n-gram machine learning approach
A Tripathy, A Agrawal, SK Rath
Expert Systems with Applications 57, 117-126, 2016
Classification of sentimental reviews using machine learning techniques
A Tripathy, A Agrawal, SK Rath
Procedia Computer Science 57, 821-829, 2015
Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data
RK Behera, M Jena, SK Rath, S Misra
Information Processing & Management 58 (1), 102435, 2021
A survey on one-hop clustering algorithms in mobile ad hoc networks
S Chinara, SK Rath
Journal of Network and Systems Management 17 (1), 183-207, 2009
Document-level sentiment classification using hybrid machine learning approach
A Tripathy, A Anand, SK Rath
Knowledge and Information Systems 53, 805-831, 2017
Real-time sentiment analysis of twitter streaming data for stock prediction
S Das, RK Behera, SK Rath
Procedia computer science 132, 956-964, 2018
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
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
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
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
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
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
An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes
L Kumar, S Misra, SK Rath
Computer standards & interfaces 53, 1-32, 2017
Class point approach for software effort estimation using various support vector regression kernel methods
SM Satapathy, SK Rath
Proceedings of the 7th India Software Engineering Conference, 1-10, 2014
The effect of human IT capability on organizational agility: an empirical analysis
S Panda, SK Rath
Management Research Review 40 (7), 800-820, 2017
Information technology capability, knowledge management capability, and organizational agility: The role of environmental factors
S Panda, SK Rath
Journal of Management & Organization 27 (1), 148-174, 2021
Classification of microarray using MapReduce based proximal support vector machine classifier
M Kumar, SK Rath
Knowledge-Based Systems 89, 584-602, 2015
Strategic IT-business alignment and organizational agility: from a developing country perspective
S Panda, SK Rath
Journal of Asia Business Studies 12 (4), 422-440, 2018
Empirical assessment of machine learning models for agile software development effort estimation using story points
SM Satapathy, SK Rath
Innovations in Systems and Software Engineering 13 (2), 191-200, 2017
Effectiveness of software metrics for object-oriented system
Y Suresh, J Pati, SK Rath
Procedia technology 6, 420-427, 2012
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