data mining & big dataManagement

ICBDM 2020 - 2020 International Conference on Big Data in Management
November 20-22, 2020 | The University of Manchester, UK

Official website: http://www.icbdm.net

Publication:
ICBDM 2020---Accepted paper will be published in the ICBDM 2020 conference Proceedings by ACM, which will be archived in the ACM Digital Library, indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science) .
ICBDM 2020 | ACM - ISBN: 978-1-4503-7506-1

Keynote Speaker:
Prof. Steven Furnell---University of Plymouth, United Kingdom;
Prof. Walter Brenner---University of ST. Gallen, Switzerland;
Prof. Lili Yang---Loughborough University, United Kingdom;
Dr. Yu-Wang Chen---The University of Manchester, UK.

Sponsored By:
The University of Manchester, UK;
Dakota State University, USA;
College of Charleston, USA;
Shanghai Information Center for Life Sciences, CAS

Conference Committee:
Conference Chair:
Prof. Yu-Wang Chen, the University of Manchester, United Kingdom.

Program Committee Chairs:
Prof. Lili Yang, Loughborough University, United Kingdom;
Prof. David Billard, University of Applied Sciences in Geneva, Switzerland.

Technical Committee Chairs:
Prof. Ping Lou, Wuhan University of Technology, China;
Prof. Tyng-Yeu Liang, National Kaohsiung University of Science and Technology, Taiwan;
Prof. Vasile Avram, Bucharest University of Economic Studies, Romania;
Prof. Parameshachari B D, GSSS Institute of Engineering and Technology for Women, India;
Prof. Era Johri, KJ Somaiya College of Engineering, Mumbai , India;
Assoc. Prof. Sui Jie, University of Chinese Academy of Science, China;
Assoc. Prof. Chiunhsiun Lin, National Taipei University, Taiwan;
Assoc. Prof. Ismail Rakip Karas, Karabük University, Turkey;
Assoc. Prof. Dayang Norhayati Abang Jawawi, Universiti Teknologi Malaysia, Malaysia;
Asst. Prof. Vivek Shandilya, Jacksonville University, USA;
Asst. Prof. Francesco Colace, Università degli studi di Salerno, Italy;
Asst. Prof. Rasha Ismail, American University of the Middle East, Kuwait;
Asst. Prof. Maqsood Mahmud, Imam Abdulrahman Al Faisal University, Saudi Arabia;
Asst. Prof. Aashish A.Bardekar, Sipna College of Engineering & Technology,India;
Asst. Prof. K.Martin Sagayam, Karunya Institute of Technology and Sciences, India;
Asst. Prof. Kamlesh Makvana,Chandubhai S Patel Institute of Technology, India;
Dr. Le Nguyen Quoc Khanh, Nanyang Technological University, Singapore;
Dr. Durgesh Samadhiya, National Chiao Tung University, Taiwan;
Dr. SUMIT KUSHWAHAKamla Nehru Institute of Technology, India;
Dr. Prantosh kumar Paul, Raiganj University, West Bengal, India;
Dr. Bambang Leo Handoko, Bina Nusantara University, Indonesia.

Call for Paper:
Topics of interest for submission include, but are not limited to:
* Algorithms and Systems for Big Data Search
* Distributed, and Peer-to-peer Search
* Big Data Search Architectures, Scalability and Efficiency
* Visualization Analytics for Big Data
* Computational Modeling and Data Integration
* 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
* Visualization Analytics for Big Data
* Computational Modeling and Data Integration
* 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 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
* Big Data as a Service
* Big Data Industry Standards
* Experiences with Big Data Project Deployments

Contact us:
Ms. Jasmine Nieh
Conference Secretary of ICBDM
Tel: +86-18482379767
Email: icbdm@academic.net