2021 the 4th International Conference on Big Data Management (ICBDM 2021)

Conference / Summit (onsite)
Big Data & Analytics

Address: Shenzhen, Shenzhen, China
Date: 26 Feb to 01 Mar '21

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Publication:
As the workshop of ICMLC 2021, all accepted papers will be published in the ICMLC 2021 Conference Proceedings(ISBN: 978-1-4503-8931-0) as a special chapter, which will be submitted for ACM Digital Library inclusion, Ei Compendex and Scopus index, like the previous conferences.

Conference Schedule:

* February 26 2021 | 10:00am - 16:00pm: Arrival & Registration

* February 27 2021 | 09:00am - 12:00pm: Opening Remarks & Keynote Speeches
 
* February 27 2021 | 13:00pm - 18:45pm: Authors' Presentations in Parallel Sessions

* February 28 2021 | 9:00am - 18:00pm: Authors' Presentations in Parallel Sessions

* March 1 2021 | 10:00 am--16:00 pm: Academic Visiting or Social Program

Contact:
Ms. Vicky Kuo / Ms. (Conference Secretary)
Email: icbdm@asr.org
Phone: 86-18381008370


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
• 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/StreamData 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
• 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

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
• 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/StreamData 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
• 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

Assaf Schuster

ACM Fellow&IEEE Fellow

Shyi-Ming Chen

IEEE Fellow, IET Fellow, IFSA Fellow, IETI Distinguished Fellow

IConf

Media Partner

Assaf Schuster

ACM Fellow&IEEE Fellow

Shyi-Ming Chen

IEEE Fellow, IET Fellow, IFSA Fellow, IETI Distinguished Fellow

IConf

Media Partner

Venue

Shenzhen

Organizer

The Asia Society of Researchers

Venue

Shenzhen

Organizer

The Asia Society of Researchers

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