International Conference on Machine Learning, NLP and Data Mining (MLDA 2022)

Scope & Topics

International Conference on Machine Learning, NLP and Data Mining (MLDA 2022) 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 include, but are not limited to, the following:

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 May 14, 2022.

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) series (Confirmed).

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