International Conference on AI, Data Mining and Data Science (AIDD 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Data mining, and Data Science. The Conference looks for significant contributions to all major fields of the AI, Data mining, and Data Science in theoretical and practical aspects. 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:

1. International Conference on AI, Data Mining and Data Science (AIDD 2023)
October 07 ~ 08, 2023, Virtual Conference
https://aidd2023.org/
Scope & Topics
International Conference on AI, Data Mining and Data Science (AIDD 2023) will
provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Artificial Intelligence, Data mining, and Data Science. The
Conference looks for significant contributions to all major fields of the AI, Data mining, and
Data Science in theoretical and practical aspects.
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:
Topics of interest include, but are not limited to, the following
Artificial Intelligence
 AI Algorithms, Tools & Applications
 Automatic Control
 Bayesian Network Data Mining
 Bioinformatics
 CAD Design & Testing
 Classification, Regression, Clustering & Association Rules
 Computational Theories of Learning
 Computer Vision and Speech Understanding
 Data Mining and Machine Learning Tools
 Data Mining Applications
 Data mining in Medical Informatics
 Deep Learning
 Dimensionality reduction
 Disaster prediction and Management
 Educational Data Mining
 Enterprise and Business Data Management
 Feature selection and Data Cleansing
 Fuzzy Logic
 Heuristic and AI Planning Strategies and Tools
 Hybrid Intelligent Systems
 Intelligent System Architectures
 Knowledge Processing
 Knowledge Representation
 Knowledge-based Systems
 Machine Learning
 Multimedia & Cognitive Informatics
 Natural Language Processing
 Neural Networks
 Pattern Recognition
 Pervasive Computing and Ambient Intelligence
 Reasoning and Evolution
 Robotics

2.  Semantic Web Techniques and Technologies
 Soft Computing Theory and Applications
 Web Intelligence Applications & Search
Data Science
 Big Data Fundamentals and Applications Internet of Things (IoT)
 Big Data Management and Frameworks
 Big Data Search
 Information Retrieval
 Large-scale Data mining
 Outlier Analysis
 Statistics for intelligent data Analysis
 Visual data mining
Data Mining
 Bayesian Network
 Big Data security
 Classification, Regression, Clustering & Association rules
 Consistent Data Model
 Data and Knowledge Representation
 Data Mining Applications
 Data mining in Medical Informatics
 Data Streams Mining, Graph Database & Mining, Spatial Data Mining
 Databases & Financial Modelling
 Deep Learning
 Dimensionality reduction
 Disaster prediction and Management
 Educational Data Mining
 Exploring Data Analysis
 Forecasting, Classification, Clustering
 Inference of Causes, Prediction, Evaluating, Consolidating and Explaining
Discovered Knowledge
 Infrastructures for Big Data
 Integrating Constraints and Knowledge in the KDD Process
 Integration of Data Warehousing
 Interactive Data Exploration / Visualization and Discovery
 Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
 Knowledge Processing
 Languages and Interfaces for Data Mining
 Learning in Knowledge-intensive Systems
 Learning Problems
 Machine Learning Applications
 Machine Learning
 Mining from Low-Quality Information Sources
 Mining Trends, Opportunities and Risks
 OLAP and Data Mining
 Operations Research
 Parallel and Distributed Data Mining Algorithms
 Pre-Processing Techniques, Visualization
 Reasoning and Evolution
 Robotics
 Security and Information Hiding in Data Mining

3.  Semantic Web Techniques and Technologies
 Social Networks, Educational Data Mining
 Soft Computing Theory and Applications
 Statistical Techniques for Generation a Robust
 Text video, Multimedia Data Mining, Web Mining
 Web Intelligence Applications & Search
Paper Submission
Authors are invited to submit papers through the conference Submission System by
September 30, 2023 (Final Call). 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 AIDD 2023, after further revisions, will be published in the special
issue of the following journals.
 International Journal of Database Management Systems (IJDMS) - WJCI Indexed
 International Journal on Soft Computing (IJSC)
 International Journal of Data Mining & Knowledge Management Process (IJDKP) -
WJCI Indexed
 International Journal on Soft Computing, Artificial Intelligence and Applications
(IJSCAI)
 International Journal of Ubiquitous Computing (IJU)
 International Journal of Artificial Intelligence & Applications (IJAIA)
 Machine Learning and Applications: An International Journal (MLAIJ)
Important Dates
 Submission Deadline: September 30, 2023 (Final Call)
 Authors Notification: October 04, 2023
 Registration & Camera - Ready Paper Due: October 05, 2023
Contact Us
Here's where you can reach us: aidd@aidd2023.org (or) aiddconf@yahoo.com
For more details, please visit: https://aidd2023.org/
Paper Submission Link: https://aidd2023.org/submission/index.php