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2nd International Conference on Machine Learning, NLP and
Data Mining (MLDA 2023)
July 15-16, 2023, Virtual Conference
https://mlda2023.org/
Scope:
2nd
International Conference on Machine Learning, NLP and Data Mining (MLDA
2023) will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Machine Learning, Natural Language Computing and Data
Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate
research results, projects, surveying works and industrial experiences that describe significant
advances in the following areas, but are not limited to these topics only.
Topics of Interest
• Argumentation Mining and Applications
• Artificial Intelligence
• Bayesian Network
• Big Data & Business Intelligence
• Computer Vision
• Corpus Analysis
• Data Mining
• Data Mining Foundations & Applications
• Deep Learning, Neural Languages and NLP
• Information Extraction, Retrieval
• Knowledge Processing
• Learning in knowledge-intensive systems
• Machine Learning Algorithms & Applications
• Machine Learning in knowledge-intensive systems
• Machine Learning Methods and analysis
• Machine Learning Problems
• Natural language and Ubiquitous Computing
• Natural Language in Conceptual Modeling
• Neural Networks
• NLP techniques for Ambient Intelligence
• NLP techniques for Internet of Things (IoT)
• Predictive Learning
• Question Answering (QA)
• Reinforcement Learning
• Semantic Processing & NLP
• Semantic Web, Open Linked Data, and Ontologies
• Social Media and Web Analytics
• Supervised Machine Learning
• Text Mining
• Unsupervised Machine Learning
Paper Submission
Authors are invited to submit papers through the conference Submission System by June 03,
2023. Submissions must be original and should not have been published previously or be under
consideration for publication while being evaluated for this conference. The proceedings of the
conference will be published by International Journal on Cybernetics & Informatics
(IJCI) (Confirmed).
Selected papers from MLDA 2023, after further revisions, will be published in the special issue
of the following journal.
• International Journal on Natural Language Computing (IJNLC)
• International Journal of Web & Semantic Technology (IJWesT) - IS Indexed
• International Journal of Ubiquitous Computing (IJU)
• International Journal of Data Mining & Knowledge Management Process (IJDKP) -
WJCI Indexed
• The International Journal of Ambient Systems and Applications (IJASA)
• International Journal of Grid Computing & Applications (IJGCA)
• Machine Learning and Applications: An International Journal (MLAIJ)
• International Journal on Computational Science & Applications (IJCSA)
• Advances in Vision Computing: An International Journal (AVC)
Important Dates
• Submission Deadline : June 03, 2023
• Authors Notification : June 17, 2023
• Final Manuscript Due : June 24, 2023
Contact Us
Here's where you can reach us : mlda@mlda2023.org (or) mlda_conf@yahoo.com

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2 nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023)

  • 1. 2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) July 15-16, 2023, Virtual Conference https://mlda2023.org/ Scope: 2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural Language Computing and Data Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of Interest • Argumentation Mining and Applications • Artificial Intelligence • Bayesian Network • Big Data & Business Intelligence • Computer Vision • Corpus Analysis • Data Mining • Data Mining Foundations & Applications • Deep Learning, Neural Languages and NLP • Information Extraction, Retrieval • Knowledge Processing • Learning in knowledge-intensive systems • Machine Learning Algorithms & Applications • Machine Learning in knowledge-intensive systems • Machine Learning Methods and analysis • Machine Learning Problems • Natural language and Ubiquitous Computing • Natural Language in Conceptual Modeling • Neural Networks • NLP techniques for Ambient Intelligence • NLP techniques for Internet of Things (IoT) • Predictive Learning • Question Answering (QA) • Reinforcement Learning • Semantic Processing & NLP • Semantic Web, Open Linked Data, and Ontologies • Social Media and Web Analytics • Supervised Machine Learning • Text Mining • Unsupervised Machine Learning
  • 2. Paper Submission Authors are invited to submit papers through the conference Submission System by June 03, 2023. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from MLDA 2023, after further revisions, will be published in the special issue of the following journal. • International Journal on Natural Language Computing (IJNLC) • International Journal of Web & Semantic Technology (IJWesT) - IS Indexed • International Journal of Ubiquitous Computing (IJU) • International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed • The International Journal of Ambient Systems and Applications (IJASA) • International Journal of Grid Computing & Applications (IJGCA) • Machine Learning and Applications: An International Journal (MLAIJ) • International Journal on Computational Science & Applications (IJCSA) • Advances in Vision Computing: An International Journal (AVC) Important Dates • Submission Deadline : June 03, 2023 • Authors Notification : June 17, 2023 • Final Manuscript Due : June 24, 2023 Contact Us Here's where you can reach us : mlda@mlda2023.org (or) mlda_conf@yahoo.com