会議情報

BDIT 2021: International Conference on Big Data and Information Technology

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提出日:
2021-06-05
通知日:
2021-06-25
会議日:
2021-10-22
場所:
Chengdu, China
閲覧: 10792   追跡: 0   出席: 0

論文募集

BDIT 2021 (International Conference on Big Data and Information Technology) is an academic conference held in Chengdu, China on 2021-10-22. The paper submission deadline is 2021-06-05. Acceptance notifications are sent on 2021-06-25.

The BDIT 2021 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Information Technology. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: Big Data Science and Foundations Novel Theoretical Models for Big Data New Computational Models for Big Data Data and Information Quality for Big Data New Data Standards Cloud/Grid/Stream Computing for Big Data High Performance/Parallel Computing Platforms for Big Data Energy-efficient Computing for Big Data Software Techniques and Architectures in Cloud/Grid/Stream Computing Big Data Open Platforms New Programming Models for Big Data beyond Hadoop/MapReduce, STORM Software Systems to Support Big Data Computing Big Data Management 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 Big Data Search and Mining 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 Large-scale Recommendation Systems and Social Media Systems 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 Information Technology Artificial Intelligence Business Intelligence and Applications Cloud Computing in E-Commerce Scenarios Computer Network Data Analytics and Big Data Distributed Systems E-Business Systems Integration and Standardization, E-government E-Commerce Risk Management Electronic Business Model and Method Evolutionary Computation and Algorithms Image Processing and Multimedia Technology Information System Integration and Decision Support Intelligent Information Processing Internet of Things, Data Mining Machine Learning Mobile Computing Natural Language Processing Recommender system Semantic Web Service Architecture for E-Commerce Service Oriented E-Commerce and Business Processes Signal Detection and Processing Software Engineering Technique and Application of Database Visualization and Computer Graphic
最終更新 Dou Sun

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関連仕訳帳

CCF完全な名前インパクト ・ ファクター出版社ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
IEEE Access3.6IEEE2169-3536

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