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In this technological era, numerous digital things are generated with which the amount of data being collected is increasing at an unprecedented rate. Accordingly, many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information & communication applications and so forth. Nevertheless, equipping the relevant intelligent functionalities with data mining and analysis approaches will provide promising solutions to many challenging problems by significantly improving the service quality and user experience.

组委会

Chief Patron:

Dr. PSK. R. Periaswamy,
Chairman,
Kongunadu Institutions.

Patrons:

Er. K. Thangavelu,
Secretary,
Kongunadu Institutions.

Dr. PST. V. S.Thennarasu,
Treasurer,
Kongunadu Institutions.

Er. PSK. P. Arunkumar,
Vice-Chairman,
Kongunadu Institutions.

Er. PSK. P. Ashok Kumar,
Joint Secretary,
Kongunadu Institutions.

General Chair:

Dr. R. Asokan,
Principal,
Kongunadu College of Engineering and Technology,
Trichy, Tamil Nadu, India.

Conference Chair:

Dr. J. Yogapriya,
Dean (R&D),
Kongunadu College of Engineering and Technology,
Trichy, Tamil Nadu, India.

征稿信息

重要日期

2023-01-10
初稿截稿日期
2023-02-05
初稿录用日期

征稿范围

Data Engineering

Database-as-a-Service and cloud/edge computing
Big Data Analytics
Smart Data Clustering and Classification Techniques
Data Integration and Interoperability
Smart Data Grids and Processing
Peer-to-peer, parallel and distributed databases
Data Visualization and Interactive Data Explorations
Web data mining and Information extraction
Smart Information Retrieval and Integration
Uncertain, Probabilistic and Approximate Databases
Smart Data management and workflows
Advanced Query Processing and Optimization
Data Mining and Knowledge Discovery

Computational Intelligence

Machine Learning for Database Systems
Semantic Web
Multimedia Information Processing and Analysis
Deep learning
Statistical and Reinforcement learning
Data-driven Fuzzy Systems Design
Artificial Neural Network
Social Networks Visualization and Analysis
Supervised and Unsupervised Learning
High performance computing
Cognitive Intelligence and Decision Making Models
Nature Inspired, Evolutionary Computation and Hybrid learning Algorithms

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重要日期
  • 会议日期

    03月29日

    2023

    03月31日

    2023

  • 01月10日 2023

    初稿截稿日期

  • 02月05日 2023

    初稿录用通知日期

主办单位
Kongunadu College of Engineering and Technology
承办单位
Dr. J. Yogapriya
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