Dr. Ranjan Kumar Behera
Dr. Ranjan Kumar Behera
Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi
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Cited by
Cited by
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, 2020
Real-Time Sentiment Analysis of Twitter Streaming data for Stock Prediction
S Das, RK Behera, M kumar, S KumarRatha
International Conference on Computational Intelligence and Data Science …, 2018
Supervised link prediction using structured‐based feature extraction in social network
A Kumari, RK Behera, KS Sahoo, A Nayyar, A Kumar Luhach, ...
Concurrency and Computation: practice and Experience 34 (13), e5839, 2022
Large scale community detection using a small world model
RK Behera, SK Rath, S Misra, R Damaševičius, R Maskeliūnas
Applied Sciences 7 (11), 1173, 2017
Genetic algorithm-based community detection in large-scale social networks
RK Behera, D Naik, SK Rath, R Dharavath
Neural Computing and Applications 32 (13), 9649-9665, 2020
Distributed centrality analysis of social network data using MapReduce
R Kumar Behera, S Kumar Rath, S Misra, R Damaševičius, ...
Algorithms 12 (8), 161, 2019
Software reliability assessment using machine learning technique
RK Behera, S Shukla, SK Rath, S Misra
International Conference on Computational Science and Its Applications, 403-411, 2018
Mr-ibc: Mapreduce-based incremental betweenness centrality in large-scale complex networks
RK Behera, D Naik, D Ramesh, SK Rath
Social Network Analysis and Mining 10 (1), 1-13, 2020
Transfer learning for cross-project change-proneness prediction in object-oriented software systems: A feasibility analysis
L Kumar, RK Behera, S Rath, A Sureka
ACM SIGSOFT Software Engineering Notes 42 (3), 1-11, 2017
Machine learning approach for reliability assessment of open source software
RK Behera, SK Rath, S Misra, M Leon, A Adewumi
International Conference on Computational Science and Its Applications, 472-482, 2019
Software reliability assessment using deep learning technique
S Shukla, RK Behera, S Misra, SK Rath
Towards Extensible and Adaptable Methods in Computing, 57-68, 2018
Quantifying influential communities in granular social networks using fuzzy theory
A Kumari, RK Behera, AS Shukla, SP Sahoo, S Misra, SK Rath
International Conference on Computational Science and Its Applications, 906-917, 2020
An efficient modularity based algorithm for community detection in social network
RK Behera, SK Rath
2016 International Conference on Internet of Things and Applications (IOTA …, 2016
Spanning tree based community detection using min-max modularity
RK Behera, SK Rath, M Jena
Procedia Computer Science 93, 1070-1076, 2016
Map‑Reduce‑Based Centrality Detection in Social Networks: An Algorithmic Approach
D Naik, RK Behera, D Ramesh, SK Rath
Structural Mining for Link Prediction Using Various Machine Learning Algorithms
RK Behera, KS Sahoo, D Naik, SK Rath, B Sahoo
International Journal of Social Ecology and Sustainable Development (IJSESD …, 2021
Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data.
RK Behera, S Das, SK Rath, S Misra, R Damasevicius
J. Univers. Comput. Sci. 26 (9), 1128-1147, 2020
A comparative study of distributed tools for analyzing streaming data
RK Behera, S Das, M Jena, SK Rath, B Sahoo
2017 International Conference on Information Technology (ICIT), 79-84, 2017
Map-reduce based link prediction for large scale social network
RK Behera, AS Sukla, S Mahapatra, SK Rath, B Sahoo, S Bhattacharya
KSI Research Incorporation, 2017
Security issues in distributed computation for big data analytics
RK Behera, KS Sahoo, S Mahapatra, SK Rath, B Sahoo
Handbook of e-Business Security, 167-190, 2018
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