BDET 2023-Ei Compendex & Scopus
Full Name: 2023 5th International Conference on Big Data Engineering and Technology (BDET 2023)
Acronym: BDET 2023
Date: July 15-17, 2023
Place: Singapore
Website :http://www.bdet.org/
Sponsor: Sensors and Systems Society of Singapore (SSS)
2023 5th International Conference on Big Data Engineering and Technology will be held in Singapore during July 15-17, 2023.
Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). BDET conference is the premier event to network and learn from colleagues and other leading international scientific voices from across the world, who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of Big Data Engineering and Technology. BDET is mainly sponsored by Sensors and Systems Society of Singapore (SSS), and joinly supported by some universities, organizations and scientific communities. The scientific program will again feature a mix of keynote speakers, oral presentations and poster displays, etc. Finally, we are confident that you will enjoy both the technical and social programs, offered to you in the framework of BDET 2023 and we look forward to meeting you in Singapore then.
★★Paper Publication
After a careful reviewing process, all accepted papers are expected to be published in BDET 2023 proceedings, submitted to Ei Compendex and Scopus for index.
★★Call for Papers:
Topics of interest for submission include, but are not limited to:
Big Data novel theory, algorithm and applications
- Big Data standards
- Big Data Infrastructure, MapReduce and Cloud Computing
- Big Data visualization
- Big Data curation and management
- Big Data semantics, scientific discovery and intelligence
- Big Data performance analysis and large-scale deployment
- Security, privacy, trust, and legal issues to big data
- Big Data vs Big Business and Big Industry
- Large data stream processing on cloud
- NoSQL data stores and DB scalability
- Big Data placement, scheduling, and optimization
- Distributed file systems for Big Data
- MapReduce for Big Data processing, resource scheduling and SLA
- Performance characterization, evaluation and optimization
- Simulation and debugging systems and tools for MapReduce and Big Data
- Volume, Velocity, Variety, Value and Veracity of Big Data
More details, please view: http://www.bdet.org/cfp.html
★★Contact:
Conference Secretary: Charlotte Kuo
Email: bdet@chairmen.org
User Name : Helen
Posted 07-02-2023 on 18:09:58 AEDT