ACM--2020 International Conference on Big Data in Management (ICBDM 2020)--Ei Compendex & Scopus
ACM--ICBDM--Ei Compendex & Scopus 2020
- URL: http://www.icbdm.net
- Event Date: 2020-05-15 ~ 2020-05-17
- Submission Date: 2020-01-01
- Location: Manchester, United Kingdom
ICBDM 2020
ACM--2020 International Conference on Big Data in Management (ICBDM 2020)--Ei Compendex & Scopus
May 15-17, 2020 | The University of Manchester, UK
Official website: http://www.icbdm.net
Publication
ICBDM 2020---All submissions will be peer reviewed, and all the accepted papers will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Submission
Please submit your full paper to us: icbdm@academic.net.
Sponsored By
The University of Manchester, UK;
Dakota State University, USA;
College of Charleston, USA;
Shanghai Information Center for Life Sciences, CAS
Call for Paper
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
* Cloud/Grid/StreamData Mining- Big Velocity Data
* Link and Graph Mining
* Large-scale Recommendation Systems and Social Media Systems
* 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
* 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
Conference Schedule
May 15, 2020: Registration, collecting conference materials
May 16, 2020: Opening Remarks & Keynote Speeches Oral & Poster Sessions
May 17, 2020: Visit / Tour
Contact us
------------------------------------------------------------------
Ms. Jasmine Nieh
Conference Secretary of ICBDM
Tel: +86-18482379767
Email: icbdm@academic.net
ACM--2020 International Conference on Big Data in Management (ICBDM 2020)--Ei Compendex & Scopus
May 15-17, 2020 | The University of Manchester, UK
Official website: http://www.icbdm.net
Publication
ICBDM 2020---All submissions will be peer reviewed, and all the accepted papers will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Submission
Please submit your full paper to us: icbdm@academic.net.
Sponsored By
The University of Manchester, UK;
Dakota State University, USA;
College of Charleston, USA;
Shanghai Information Center for Life Sciences, CAS
Call for Paper
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
* Cloud/Grid/StreamData Mining- Big Velocity Data
* Link and Graph Mining
* Large-scale Recommendation Systems and Social Media Systems
* 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
* 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
Conference Schedule
May 15, 2020: Registration, collecting conference materials
May 16, 2020: Opening Remarks & Keynote Speeches Oral & Poster Sessions
May 17, 2020: Visit / Tour
Contact us
------------------------------------------------------------------
Ms. Jasmine Nieh
Conference Secretary of ICBDM
Tel: +86-18482379767
Email: icbdm@academic.net
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