Classification of Web Services Using Bayesian Network

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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"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
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[2]	Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks. Mathematics 2021, 9, 156
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[3]	Multiclass Model for Quality of Service Using Machine Learning and Cloud Computing
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[4]	Review of micro-services architectures and runtime dynamic binding
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[5]	Improved machine learning algorithms classifier combined with a stochastic local search for Web services classification
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[6]	Top-k% Concept Stratagem for Classifying Semantic Web Services
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[7]	Web Service Classification and Prediction Using Rule-Based Approach with Recommendations for Quality Improvements
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[8]	Classification of web services using data mining algorithms and improved learning model
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[9]	Web Service Classification using Stacking
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[10]	Web Services in the Internet of Things and Smart Cities: A Case Study on Classification Techniques
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[11]	Classification of web services using data mining algorithms and improved learning model.
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[12]	TH-SOF-1585-WEB SERVICES CLASSIFICATION USING AN IMPROVED TEXT MINING TECHNIQUE
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[13]	Model-Based Resource Utilization and Performance Risk Prediction using Machine Learning Techniques
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[14]	Web services classification for disaster management and risk reduction
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[15]	HYBRID PARTICLE SWARM OPTIMIZATION MULTI LAYER PERCEPTRON FOR WEB-SERVICES CLASSIFICATION.
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[16]	An LDA-SVM Active Learning Framework for Web Service Classification
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[17]	Categorization of Web Services Based On QoS Constraint Using Decision Tree Classifier
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[18]	Service Classification Based on Improved BP Neural Network
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[19]	A stochastic local search combined with support vector machine for Web services classification
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[20]	WEB SERVICE CLASSIFICATION WITH MULTILAYER PERCEPTRON
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[21]	HYBRID PARTICLE SWARM OPTIMIZATION MULTI LAYER PERCEPTRON FOR WEB-SERVICES CLASSIFICATION
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[22]	A Survey on Classification and Information Discovery of Web Services Data using Semantic Similarity Approaches
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[23]	Quality Assessment of Web Services Using Soft Computing Techniques
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[24]	Classification of Web Services using Fuzzy Classifiers with Feature Selection and Weighted Average Accuracy
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[25]	Semantic approach for Web service classification using machine learning and measures of semantic relatedness
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[26]	A composite classification model for web services based on semantic & syntactic information integration
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[27]	Quality Assessment of Web Services using multivariate adaptive regression splines
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[28]	Machine learning in efficient and effective web service discovery
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[29]	Machine Learning in Efficient and Effective Web Service Discovery.
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[30]	Estimation of Dry Docking Maintenance Duration using Artificial Neural Network
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[31]	Hybrid cognitive model for semantic discovery and selection of services
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[32]	Performance Evaluation of Web-services Classification
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[33]	Predicting Quality of Web Service using IKS hybrid model
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[34]	Semantic Approach for Classification of Web Services Using Unsupervised Normalized Similarity Measure
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[35]	Integrative Approaches For Biological Network Inferences
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[36]	Implementation of Mining Techniques to Enhance Discovery in Service-Oriented Computing
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[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]	Intelligent Communication, Control and Devices Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-981-13-8618-3_22

[5]	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

[6]	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

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

[8]	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

[9]	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

[10]	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

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

[12]	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

[13]	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

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

[15]	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

[16]	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

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

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