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2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026)

18 – 20 Dec 2026·China

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  4. 2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026)

2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026)

18 Dec 2026 · Hangzhou

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Big data, analítica e información estratégicaIA, aprendizaje automático e IA generativa

2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026)

MLBDM 2026 will include presentations in form of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.

  • Fecha

    18 - 20 December 2026

  • Ubicación

    Hangzhou, China

  • Tipo de evento

    Conferencias y cumbres

  • Formato de entrega

    Híbrido (presencial y en línea)

Registrarse para asistir
Logo 2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026)

2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026)

Location: Hangzhou, China

Dates: December 18-20, 2026

Website: https://www.mlbdm.net/

E-mail: sub@mlbdm.net

Conference Format: Online and In-person

 

2026 6th International Conference on Machine Learning and Big Data Management (MLBDM 2026), as the workshop of ACAI 2026, sponsored by Zhejiang University of Technology, Nanjing University, hosted by College of Computer Science and Technology, Zhejiang University of Technology, supported by Software Engineering Institute of East China Normal University, will be held during December 18-20, 2026 in Hangzhou, China. MLBDM aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Machine Learning and Big Data Management. MLBDM 2026 will include presentations in form of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.

 

Topics:

Unsupervised Learning

Algorithms and Systems for Big Data Search

Meaningful Compression

Distributed, and Peer-to-peer Search

Computational Theories of Learning

Big Data Search Architectures, Scalability and Efficiency

Big Data Visualization

Data Acquisition, Integration, Cleaning, and Best Practices

Structure Discovery

Visualization Analytics for Big Data

Feature Elicitation

Computational Modeling and Data Integration

(For more topics: https://www.mlbdm.net/topics.html)

 

Paper Publication and Indexing:

Accepted papers after proper registration and presentation will be included in the Conference Proceedings, published by IEEE and indexed by Ei Compendex, Scopus, CPCI and other important databases.

 

Previous Publication and indexing:

*All papers included in MLBDM 2020-2025 have been published and indexed by EI and Scopus successfully!

 

Paper Submission (Choose one way to submit your paper):

1. Submission System: https://cmt3.research.microsoft.com/MLBDM2026/ (Recommend)

2. Email Submission: sub@mlbdm.net

You are also welcome to join us as:

As Presenter: If you want to share you latest research results by giving presentation without publishing papers, please submit your abstract (300-400 words)

As Listener: You are also warmly welcomed to take part in MLBDM 2026 as a listener even though you have no paper to submit.

As Reviewer: To ensure the fairness and to guarantee the quality of MLBDM 2026, we cordially invite experts and scholars join us as a reviewer.

 

MLBDM 2026 Organizing committee members:

 

Conference Chairs:

Prof. Xiangjie Kong, Zhejiang University of Technology, China

Prof. James Tin Yau KWOK (Fellow IEEE), The Hong Kong University of Science and Technology, Hong Kong, China

Prof. Wanyang Dai, Nanjing University, China

 

Program Chairs:

Prof. Zhen Lei, IEEE Fellow, IAPR Fellow, University of Chinese Academy of Sciences, China

Prof. Yudong Zhang, Southeast University, China

Prof. Xiaodong Liu, Head of Intelligence-Driven Software Engineering Research Group, Edinburgh Napier University, UK

Prof. Lei Zhang, Vice Dean, East China Normal University, China

 

Contact us:

Conference Secretary: Mrs. Caroline Li

Email: sub@mlbdm.net

Tel: +852 92562476

Website: https://www.mlbdm.net/

Temas clave:

  • •Machine Learning
  • •Big Data Management

Precios e inscripción

Costo de asistencia

$100-500

USD por asistente

Oferta especialLimitado

50 USD off as early bird

Registrarse para asistir

Precios e inscripción

Costo de asistencia

$100-500

USD por asistente

Oferta especialLimitado

50 USD off as early bird

Registrarse para asistir

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Ubicación y sede del evento

Únase a nosotros en esta sede de primer nivel diseñada para inspirar conexiones significativas.

Ubicación

Hangzhou

Hangzhou, China

Fecha y hora

18 - 20 December 2026

09:00 – 18:00

Zona horaria

GMT+8 (Shanghai)

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Organizado por

EECT

Non-Profit Organisation

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