International Conference on Big Data Research on March 27-29, 2026 in Chengdu, China

International Conference on Big Data Research on March 27-29, 2026 in Chengdu, China

Publication:

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings.

 

Submission Guideline:

♢ English is the official language. Paper should be prepared and presented in English.

♢ Full paper (no less than 5 Pages in two-column format) submission is required for Publication and Presentation. For presentation only, just send us the abstract.

♢ Submission:

- By online submission system: https://confsys.iconf.org/submission/icbdr2026

- Submit to [email protected] as attachment. The email subject should be named as "Submission-ICBDR 2026-Full Paper/ Abstract"

 

Chengdu:

Chengdu, abbreviated as "Rong," also known as Rongcheng and Jincheng, is the capital of Sichuan Province, a sub-provincial city, a mega-city, and the core city of the Chengdu-Chongqing economic circle. It is an important central city in Western China, approved by the State Council, and a key national high-tech industrial base, commercial logistics center, and comprehensive transportation hub. The city has 12 districts, 3 counties, and administers 5 county-level cities.

Chengdu is one of the top ten ancient capitals of China and one of the first national historical and cultural cities. It is the birthplace of the ancient Shu civilization. Chengdu boasts famous historical sites and attractions, including Dujiangyan, Wuhou Temple, Thatched Cottage of Poet Du Fu, Jinsha Site Museum, making it one of the best tourist cities in China.

 

Contact Us:

Conference Secretary: Miss Tessa Chen

Email: [email protected]

Tel: +86-15681915997

Website: https://www.icbdr.org

 

Topics:

Topics of interest for submission include, but are not limited to:

Track1: Big Data Models and Algorithms

▪ Foundational Models for Big Data

▪ Algorithms and Programming Techniques for Big Data Processing

▪ Big Data Analytics and Metrics

▪ Representation Formats for Multimedia Big Data

 

Track2: Big Data Architectures

▪ Cloud Computing Techniques for Big Data

▪ Big Data as a Service

▪ Big Data Open Platforms

▪ Big Data in Mobile and Pervasive Computing

 

Track3: Big Data Management

▪ Big Data Persistence and Preservation

▪ Big Data Quality and Provenance Control

▪ Big Data Storage and Retrieval

 

Track4: Big Data Security and Privacy

▪ Big Data System Security and Integrity

▪ Big Data Information Security

▪ Privacy Preserving Big Data Analytics

 

Track5: Big Data in Smart Cities

▪ Big Data for Improving Resilient Infrastructures

▪ Big Data Applications such as Healthcare and Transportation

▪ Big Data for Enterprise, Government, and Society

▪ Big Data for Science and Engineering Research

 

Track6: Big Data Search, Mining, and Visualization

▪ Algorithms and Systems for Big Data Search

▪ Distributed, and Peer-to-peer Search

▪ Machine learning based on Big Data

▪ Visualization Analytics for Big Data

For more topics, please visit: https://www.icbdr.org/cfp.html

 

Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/

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