International Conference on Big Data Management on October 13-15, 2025 in Derby, United Kingdom

International Conference on Big Data Management on October 13-15, 2025 in Derby, United Kingdom

PUBLICATION:

Submitted papers will be strictly reviewed by the technical program committee. Accepted papers after successful registration and presentation will be included in Conference Proceedings, and submitted to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in ICBDM to display their research results.

 

CONFERENCE SCHEDULE:

October 13, 2025---(10 am--4 pm)----Registration, Collecting Conference Materials

                              (2 pm--4 pm)----Academic Visit

October 14, 2025---(Morning)----Openning Ceremony & Keynote Speeches 

                              (Afternoon)----Parallel Sessions

October 15, 2025----Parallel Sessions

 

CONTACT:

Conference Secretary: Ms. Joy Wei

Email: [email protected]

Web: https://www.icbdm.org/

 

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

• Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data

• Algorithms and Systems for Big Data Search

• Distributed, and Peer-to-peer Search

• Big Data Search Architectures, Scalability and Efficiency

• Data Acquisition, Integration, Cleaning, and Best Practices

• Visualization Analytics for Big Data

• Computational Modeling and Data Integration

• Large-scale Recommendation Systems and Social Media Systems

• Cloud/Grid/Stream Data Mining- Big Velocity Data

• Link and Graph Mining

• Semantic-based Data Mining and Data Pre-processing

• Mobility and Big Data

• Multimedia and Multi-structured Data- Big Variety Data

• Social Web Search and Mining

• Web Search

• Intrusion Detection for Gigabit Networks

• Anomaly and APT Detection in Very Large Scale Systems

• High Performance Cryptography

• Visualizing Large Scale Security Data

• Threat Detection using Big Data Analytics

• Privacy Threats of Big Data

• Privacy Preserving Big Data Collection/Analytics

• HCI Challenges for Big Data Security & Privacy

• User Studies for any of the above

• Sociological Aspects of Big Data Privacy

• Trust management in IoT and other Big Data Systems

• Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication

• Big Data Analytics in Small Business Enterprises (SMEs)

• Big Data Analytics in Government, Public Sector and Society in General

• Real-life Case Studies of Value Creation through Big Data Analytics

• Big Data as a Service

• Big Data Industry Standards

• Experiences with Big Data Project Deployments

 

Name: etpub

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