Classification of Web Services Using Bayesian Network

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

Google-based Impact Factor: 2
Citations

Journals Menu

"Classification of Web Services Using Bayesian Network"
written by Ramakanta Mohanty, V. Ravi, M. R. Patra,
published by Journal of Software Engineering and Applications, Vol.5 No.4, 2012

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
	2021

[2]	Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks. Mathematics 2021, 9, 156
	2021

[3]	Multiclass Model for Quality of Service Using Machine Learning and Cloud Computing
	2021 7th International Conference on …, 2021

[4]	Review of micro-services architectures and runtime dynamic binding
	2020

[5]	Improved machine learning algorithms classifier combined with a stochastic local search for Web services classification
	Intelligent Decision Technologies, 2020

[6]	Top-k% Concept Stratagem for Classifying Semantic Web Services
	2020

[7]	Web Service Classification and Prediction Using Rule-Based Approach with Recommendations for Quality Improvements
	2020

[8]	Classification of web services using data mining algorithms and improved learning model
	2019

[9]	Web Service Classification using Stacking
	2019

[10]	Web Services in the Internet of Things and Smart Cities: A Case Study on Classification Techniques
	2019

[11]	Classification of web services using data mining algorithms and improved learning model.
	2019

[12]	TH-SOF-1585-WEB SERVICES CLASSIFICATION USING AN IMPROVED TEXT MINING TECHNIQUE
	2018

[13]	Model-Based Resource Utilization and Performance Risk Prediction using Machine Learning Techniques
	2017

[14]	Web services classification for disaster management and risk reduction
	2017

[15]	HYBRID PARTICLE SWARM OPTIMIZATION MULTI LAYER PERCEPTRON FOR WEB-SERVICES CLASSIFICATION.
	2016

[16]	An LDA-SVM Active Learning Framework for Web Service Classification
	2016

[17]	Categorization of Web Services Based On QoS Constraint Using Decision Tree Classifier
	INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING, 2016

[18]	Service Classification Based on Improved BP Neural Network
	2016

[19]	A stochastic local search combined with support vector machine for Web services classification
	2016

[20]	WEB SERVICE CLASSIFICATION WITH MULTILAYER PERCEPTRON
	Indian Journal of Computer Science and Engineering, 2016

[21]	HYBRID PARTICLE SWARM OPTIMIZATION MULTI LAYER PERCEPTRON FOR WEB-SERVICES CLASSIFICATION
	International Journal on Information Sciences & Computing, 2016

[22]	A Survey on Classification and Information Discovery of Web Services Data using Semantic Similarity Approaches
	2015

[23]	Quality Assessment of Web Services Using Soft Computing Techniques
	Transactions on Networks and Communications, 2015

[24]	Classification of Web Services using Fuzzy Classifiers with Feature Selection and Weighted Average Accuracy
	Transactions on Networks and Communications, 2015

[25]	Semantic approach for Web service classification using machine learning and measures of semantic relatedness
	Service Oriented Computing and Applications, 2015

[26]	A composite classification model for web services based on semantic & syntactic information integration
	Advance Computing Conference (IACC), 2015 IEEE International, 2015

[27]	Quality Assessment of Web Services using multivariate adaptive regression splines
	2015

[28]	Machine learning in efficient and effective web service discovery
	Journal of Web Engineering, 2015

[29]	Machine Learning in Efficient and Effective Web Service Discovery.
	2015

[30]	Estimation of Dry Docking Maintenance Duration using Artificial Neural Network
	MS Naffisah, I Surjandari, A Rachman, RP WH - iieng.org, 2014

[31]	Hybrid cognitive model for semantic discovery and selection of services
	Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2014 IEEE International Inter-Disciplinary Conference on. IEEE, 2014

[32]	Performance Evaluation of Web-services Classification
	Indian Journal of Science and Technology, 2014

[33]	Predicting Quality of Web Service using IKS hybrid model
	Telecommunications (BIHTEL), 2014 X International Symposium on, 2014

[34]	Semantic Approach for Classification of Web Services Using Unsupervised Normalized Similarity Measure
	Journal of Emerging Technologies in Web Intelligence, 2014

[35]	Integrative Approaches For Biological Network Inferences
	2014

[36]	Implementation of Mining Techniques to Enhance Discovery in Service-Oriented Computing
	2014

[1]	Improved machine learning classifiers combined with a stochastic local search for Web services classification Intelligent Decision Technologies, 2021 DOI:10.3233/IDT-190131

[2]	Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks Mathematics, 2021 DOI:10.3390/math9020156

[3]	Multiclass Model for Quality of Service Using Machine Learning and Cloud Computing 2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM), 2021 DOI:10.1109/ICCITM53167.2021.9677705

[4]	Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks Mathematics, 2021 DOI:10.3390/math9020156

[5]	Intelligent Communication, Control and Devices Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-981-13-8618-3_22

[6]	Proceedings of the Third International Conference on Computational Intelligence and Informatics Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-981-15-1480-7_27

[7]	Review of micro-services architectures and runtime dynamic binding 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020 DOI:10.1109/I-SMAC49090.2020.9243335

[8]	Web Service Classification using Stacking 2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS), 2019 DOI:10.1109/AiDAS47888.2019.8970755

[9]	Web Services in the Internet of Things and Smart Cities: A Case Study on Classification Techniques IEEE Consumer Electronics Magazine, 2019 DOI:10.1109/MCE.2018.2880808

[10]	Web services classification for disaster management and risk reduction 2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2017 DOI:10.1109/ICT-DM.2017.8275668

[11]	A stochastic local search combined with support vector machine for Web services classification 2016 International Conference on Advanced Aspects of Software Engineering (ICAASE), 2016 DOI:10.1109/ICAASE.2016.7843850

[12]	Business Intelligence 2016 DOI:10.4018/978-1-4666-9562-7.ch018

[13]	Semantic approach for Web service classification using machine learning and measures of semantic relatedness Service Oriented Computing and Applications, 2016 DOI:10.1007/s11761-015-0182-1

[14]	A composite classification model for web services based on semantic & syntactic information integration 2015 IEEE International Advance Computing Conference (IACC), 2015 DOI:10.1109/IADCC.2015.7154887

[15]	Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines 2015 Asia-Pacific Software Engineering Conference (APSEC), 2015 DOI:10.1109/APSEC.2015.35

[16]	Data Mining and Analysis in the Engineering Field Advances in Data Mining and Database Management, 2014 DOI:10.4018/978-1-4666-6086-1.ch014

[17]	Hybrid cognitive model for semantic discovery and selection of services 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2014 DOI:10.1109/CogSIMA.2014.6816543

[18]	Predicting Quality of Web Service using IKS hybrid model 2014 X International Symposium on Telecommunications (BIHTEL), 2014 DOI:10.1109/BIHTEL.2014.6987636

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

Journals Menu

Home

About SCIRP

Service

Policies