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    AIDD 2023 - International Conference on AI, Data Mining and Data Science (AIDD 2023)

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    Website https://aidd2023.org/ | Edit Freely

    Category Conference

    Deadline: September 30, 2023 | Date: October 07, 2023-October 08, 2023

    Venue/Country: virtual conference, Online

    Updated: 2023-09-26 10:57:48 (GMT+9)

    Call For Papers - CFP

    International Conference on AI, Data Mining and Data Science (AIDD 2023)

    October 07 ~ 08, 2023, Virtual Conference

    https://aidd2023.org/

    Scope

    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

    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

    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 journal.

    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.org


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.