Conference Information
BigDataSE 2022: International Conference on Big Data Science and Engineering
http://www.ieee-hust-ncc.org/2022/BigDataSE/
Submission Date:
2022-07-15 Extended
Notification Date:
2022-08-15
Conference Date:
2022-10-28
Location:
Wuhan, China
Years:
16
Viewed: 16690   Tracked: 16   Attend: 0

Call For Papers
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). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. 

 BigDataSE 2022 topics include, but are not limited to the following:

    Trust semantics, metrics and models
    Systems, Models and Algorithms
    Big Data novel theory, algorithm and applications
    Big Data standards
    Big Data mining and analytics
    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
    Large incremental datasets on cloud
    Distributed and federated datasets
    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
    Multiple source data processing and integration with MapReduce
    Storage and computation management of Big Data
    Large-scale big data workflow management
    Mobility and big data
    Sensor network, social network and big data
    Big data applications
Last updated by Yuan Tian in 2022-07-08
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
BODYNETSInternational Conference on Body Area Networks2018-06-062018-06-292018-10-02
SIPPRInternational Symposium on Signal, Image Processing and Pattern Recognition2020-03-252020-03-252021-04-16
ICDISInternational Conference on Data Intelligence and Security2022-03-152022-05-012022-07-25
SIUSAIInternational Symposium on Intelligent Unmanned Systems and Artificial Intelligence2022-04-252022-04-302022-05-20
AdNLPInternational conference on Advanced Natural Language Processing2022-03-122022-03-192022-03-19
ICNCSSInternational Conference on New Computational Social Science2020-07-282020-08-202020-09-25
INTELLIInternational Conference on Intelligent Systems and Applications2022-02-202022-03-202022-05-22
ICFLInternational Conference on Future Learning2020-11-102020-11-252020-12-17
ICTEInternational Conference on Technology and Entrepreneurship2020-01-152020-02-152020-04-19
CogMIIEEE International Conference on Cognitive Machine Intelligence2021-10-142021-11-152021-12-13
Recommendation