2025 6th International Conference on Big Data and Informatization Education (ICBDIE 2025)

About ICBDIE 2025

2025 6th International Conference on Big Data and Informatization Education


Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to the development of modern society. So big data will give greater flexibility to educational activities. Therefore, big data will give greater flexibility to educational activities, and more and more scholars provide new ideas for the above research directions. To sum up, we will hold an international academic conference on big data and information education.

2025 6th International Conference on Big Data and Informatization Education (ICBDIE 2025) will be held on February 21-23, 2025 in Suzhou, China. ICBDIE 2025 is to bring together innovative academics and industrial experts in the field of  Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.

We warmly invite you to participate in ICBDIE 2025 and look forward to seeing you in Suzhou, China!

Call For Papers

hot.gif The topics of interest include, but are not limited to:

Big Data

· Big data analysis

· Big data Science and Foundation

· Big data application

· Big data management

· Data science model and method

· Big data algorithm

· Big data search and information retrieval technology

· Big data collection, integration, cleaning and best practices

· Big data and deep learning

· Scalable computational models, theory and algorithms

· Memory systems and platforms for big data analytics

· Big data and high performance computing

· Big data network infrastructure

· Big data system performance evaluation report

· Storage system (including file system, NoSQL and RDBMS)

· Resource management method for big data system

· Multicore computing and accelerators

· Internet of Things big data application

Education

· Educational science

· Internet + education

· Distance Education

· Mobile learning

· Intelligent and interactive technology in an educational environment

· Natural language processing and speech technology

· Data mining and machine learning

· Knowledge representation and reasoning

· Multi-agent architecture

· Database Technology

· Artificial intelligence

· Computer Architecture

· Software engineering

· Other computer education

· Active learning

· Learning model

· Online/virtual lab

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Submission

news.gif Please send the full paper(word+pdf) to Submission System : 

Submission System (Chinese)

Submission System  (English)

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Important Dates

Full Paper Submission Date

Registration Deadline

Final Paper Submission Date

Conference Dates

February 1, 2025

February 5, 2025

February 10, 2025

February 21- 23, 2025

Publication

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.

Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Supported By

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