2022 4th International Conference on Big Data Engineering and Technology (BDET 2022)

Call for paper
-  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
-  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
-  Data Visualization and Visual Analytics
-  Big Data Algorithms, Applications and Services
-  Big Data Mining and Analytics
-  Big Data Processing and Querying
-  Algorithmic, experimental, prototyping and implementation
-  Natural Language Processing in Big Texts
-  Biomedical imaging pre-processing and Analysis
-  Hardware and Software solutions for Big Data Searching, Storing and Management
-  Structured and Unstructured Data/Text/Web Mining
-  Deep Learning architecture, representations, unsupervised and supervised algorithms
-  Scalable computational intelligence tools
-  Novel Computational Intelligence approaches for data analysis
-  Evolutionary and Bio-inspired approaches for Big Data analysis
-  New domains and novel applications related to Big Data technologies

More information, please go to: http://www.bdet.org/cfp.html

Publication 
After a careful reviewing process, all accepted papers are expected to be published by Springer - Lecture Notes on Data Engineering and Communications Technologies (approved), which is indexed by SCOPUS, INSPEC, EI Compendex and Springerlink.
    
Submission Methods
1. Full paper (publication and presentation)
2. Abstract (presentation only)

Please upload full paper or abstract to Submission System - https://confsys.iconf.org/submission/bdet2022
More detail about submission, please visit at http://www.bdet.org/sub.html

Contact Us
Ms. Lily Gou 
E-mail: [email protected]
Tel: +86 18081079313 
Wechat: 18081079313 
(Monday to Friday | 10:00am-17:00pm - GMT+8)