Santanu Kumar Rath

Orcid: 0000-0001-5641-8199

According to our database1, Santanu Kumar Rath authored at least 89 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Detecting Product Review Spammers Using Principles of Big Data.
IEEE Trans. Engineering Management, July, 2023

2022
Hybridizing graph-based Gaussian mixture model with machine learning for classification of fraudulent transactions.
Comput. Intell., December, 2022

2021
Service-Based Credit Card Fraud Detection Using Oracle SOA Suite.
SN Comput. Sci., 2021

Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data.
Inf. Process. Manag., 2021

Service oriented architecture-based design of bank-ATM and its verification with Petri-net.
Int. J. Simul. Process. Model., 2021

An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction.
Proceedings of the ISEC 2021: 14th Innovations in Software Engineering Conference, 2021

A design methodology for web-based services to detect fraudulent transactions in credit card.
Proceedings of the ISEC 2021: 14th Innovations in Software Engineering Conference, 2021

An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Real time SOA based credit card fraud detection system using machine learning techniques.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning.
Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020
MR-IBC: MapReduce-based incremental betweenness centrality in large-scale complex networks.
Soc. Netw. Anal. Min., 2020

Genetic algorithm-based community detection in large-scale social networks.
Neural Comput. Appl., 2020

Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data.
J. Univers. Comput. Sci., 2020

Quantifying Influential Communities in Granular Social Networks Using Fuzzy Theory.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Applying learning-based methods for recognizing design patterns.
Innov. Syst. Softw. Eng., 2019

Distributed Centrality Analysis of Social Network Data Using MapReduce.
Algorithms, 2019

Web service based credit card fraud detection by applying machine learning techniques.
Proceedings of the TENCON 2019, 2019

Machine Learning Approach for Reliability Assessment of Open Source Software.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Fraudulent Transaction Detection in Credit Card by Applying Ensemble Machine Learning techniques.
Proceedings of the 10th International Conference on Computing, 2019

Detection of Breast Cancer Thermograms based on Asymmetry Analysis using Texture features.
Proceedings of the 10th International Conference on Computing, 2019

2018
Transformation of Alloy Notation into a Semantic Notation.
ACM SIGSOFT Softw. Eng. Notes, 2018

An effective fault prediction model developed using an extreme learning machine with various kernel methods.
Frontiers Inf. Technol. Electron. Eng., 2018

Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM).
J. Syst. Softw., 2018

Software design pattern mining using classification-based techniques.
Frontiers Comput. Sci., 2018

High performance computing RBFN for classification of sizable microarrays.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

Content matching problem in large scale network using weighted b-matching algorithm.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

Software Reliability Assessment Using Machine Learning Technique.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Applying Reverse Engineering Techniques to Analyze Design Patterns in Source Code.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017
The impact of feature selection on maintainability prediction of service-oriented applications.
Serv. Oriented Comput. Appl., 2017

A Bibliometric Study of ACM SIGSOFT Software Engineering Notes from 2007 to 2016.
ACM SIGSOFT Softw. Eng. Notes, 2017

Transfer Learning for Cross-Project Change-Proneness Prediction in Object-Oriented Software Systems: A Feasibility Analysis.
ACM SIGSOFT Softw. Eng. Notes, 2017

Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept.
Int. J. Syst. Assur. Eng. Manag., 2017

Empirical validation for effectiveness of fault prediction technique based on cost analysis framework.
Int. J. Syst. Assur. Eng. Manag., 2017

Maintainability prediction of web service using support vector machine with various kernel methods.
Int. J. Syst. Assur. Eng. Manag., 2017

Document-level sentiment classification using hybrid machine learning approach.
Knowl. Inf. Syst., 2017

Empirical assessment of machine learning models for agile software development effort estimation using story points.
Innov. Syst. Softw. Eng., 2017

Classification of Sentiment of Reviews using Supervised Machine Learning Techniques.
Int. J. Rough Sets Data Anal., 2017

Spark based classification of microarray data using scalable artificial neural network.
Int. J. Data Min. Bioinform., 2017

An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes.
Comput. Stand. Interfaces, 2017

Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction.
CoRR, 2017

Using source code metrics to predict change-prone web services: A case-study on ebay services.
Proceedings of the 2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 2017

Map-Reduce based Link Prediction for Large Scale Social Network.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based Applications.
Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness.
Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Nearness and Influence Based Link Prediction (NILP) in Distributed Platform.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software.
Proceedings of the 18th IEEE International Symposium on High Assurance Systems Engineering, 2017

An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

A Comparative Study of Distributed Tools for Analyzing Streaming Data.
Proceedings of the 2017 International Conference on Information Technology, 2017

Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM.
Proceedings of the 5th International Workshop on Quantitative Approaches to Software Quality co-located with 24th Asia-Pacific Software Engineering Conference (APSEC 2017), 2017

2016
Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software.
J. Syst. Softw., 2016

Investigating the structural linkage between IT capability and organizational agility: A study on Indian financial enterprises.
J. Enterp. Inf. Manag., 2016

Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier.
J. Biomed. Informatics, 2016

Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model.
Int. J. Comput. Appl. Technol., 2016

Early stage software effort estimation using random forest technique based on use case points.
IET Softw., 2016

Classification of sentiment reviews using n-gram machine learning approach.
Expert Syst. Appl., 2016

Effort estimation of web-based applications using machine learning techniques.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

An ontology based approach for formal modeling of structural design patterns.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

Centrality Approach for Community Detection in Large Scale Network.
Proceedings of the 9th Annual ACM India Conference, 2016

Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods.
Proceedings of the Joint Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) and 1st International Workshop on Technical Debt Analytics (TDA 2016) co-located with the 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), 2016

2015
Incorporating Security Features in Service-Oriented Architecture using Security Patterns.
ACM SIGSOFT Softw. Eng. Notes, 2015

Classification of microarray using MapReduce based proximal support vector machine classifier.
Knowl. Based Syst., 2015

Sequence-based protein superfamily classification using computational intelligence techniques: a review.
Int. J. Data Min. Bioinform., 2015

Application of meta-heuristic algorithms for automated software test data generation.
Int. J. Comput. Intell. Stud., 2015

Object Oriented Analysis using Natural Language Processing concepts: A Review.
CoRR, 2015

Optimized Scenario of Temperature Forecasting using SOA and Soft Computing Techniques.
Proceedings of Fifth International Conference on Soft Computing for Problem Solving, 2015

Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept.
Proceedings of the 8th India Software Engineering Conference, 2015

Application of Soft Computing Technique for Web Service Selection.
Proceedings of the Distributed Computing and Internet Technology, 2015

Performance comparison of SOAP and REST based Web Services for Enterprise Application Integration.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

Detection of design pattern using Graph Isomorphism and Normalized Cross Correlation.
Proceedings of the Eighth International Conference on Contemporary Computing, 2015

Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines.
Proceedings of the 2015 Asia-Pacific Software Engineering Conference, 2015

2014
Evolutionary algorithms for object-oriented test data generation.
ACM SIGSOFT Softw. Eng. Notes, 2014

Class point approach for software effort estimation using stochastic gradient boosting technique.
ACM SIGSOFT Softw. Eng. Notes, 2014

A Genetic Algorithm based Approach for Test Data Generation in Basis Path Testing.
CoRR, 2014

Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods.
CoRR, 2014

Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

Software effort estimation using machine learning techniques.
Proceedings of the 7th India Software Engineering Conference, Chennai, 2014

Class point approach for software effort estimation using various support vector regression kernel methods.
Proceedings of the 7th India Software Engineering Conference, Chennai, 2014

Extended Clique percolation method to detect overlapping community structure.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

Selecting and formalizing an architectural style: A comparative study.
Proceedings of the Seventh International Conference on Contemporary Computing, 2014

2013
Class point approach for software effort estimation using soft computing techniques.
Proceedings of the International Conference on Advances in Computing, 2013

2012
Protein superfamily Classification using Adaptive Evolutionary Radial Basis Function Network.
Int. J. Comput. Intell. Appl., 2012

2011
Protein feature classification using particle swarm optimization and artificial neural networks.
Proceedings of the 2011 International Conference on Communication, 2011

CPN validation of neighbor detection protocol for ad hoc networks.
Proceedings of the 8th International Conference on Information, 2011

2009
A Survey on One-Hop Clustering Algorithms in Mobile Ad Hoc Networks.
J. Netw. Syst. Manag., 2009

TACA: Topology Adaptive Clustering Algorithm for Mobile Ad Hoc Network.
Proceedings of the 2009 International Conference on Wireless Networks, 2009

PCNN Based Hybrid Approach for Suppression of High Density of Impulsive Noise.
Proceedings of the Information Systems, Technology and Management, 2009

FCM for Gene Expression Bioinformatics Data.
Proceedings of the Contemporary Computing - Second International Conference, 2009

2008
Mobility Based Clustering Algorithm and the Energy Consumption Model of Dynamic Nodes in Mobile Ad Hoc Network.
Proceedings of the 2008 International Conference on Information Technology, 2008

2000
An intelligent pressure sensor with self-calibration capability using artificial neural networks.
Proceedings of the IEEE International Conference on Systems, 2000


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