為了迎接大數(shù)據(jù)時代的到來，更好地交流大數(shù)據(jù)的實踐經(jīng)驗，進一步推進大數(shù)據(jù)技術創(chuàng)新與應用，展示國內(nèi)外大數(shù)據(jù)領域的最新科研成果。 第五屆大數(shù)據(jù)分析國際會議將于2020年3月6日-9日在中國廈門召開。 會議旨在促進大數(shù)據(jù)分析等領域的學術交流與合作，熱忱歡迎從事相關技術研究的專家、學者和專業(yè)技術人員踴躍投稿并參加大會。

本屆ICBDA 2020 由西交利物浦大學大數(shù)據(jù)分析研究所和廈門大學信息學院共同主辦；香港理工大學和德克薩斯大學達拉斯分校共同協(xié)辦，由西交利物浦大學的關圣威教授和香港理工大學李青教授擔任聯(lián)合大會主席。

全文投稿截止時間：2019年10月20日

摘要投稿截止時間：2019年10月25日?

通知書發(fā)送：2019年11月10日

注冊截止日：2019年11月25日 ?

終稿提交日期：2019年11月28日

會議主題

Topics of interest include, but are not limited to:

Big Data Models and Algorithms

Foundational Models for Big Data

Algorithms and Programming Techniques for Big Data Processing

Big Data Analytics and Metrics

Representation Formats for Multimedia Big Data

Big Data Architectures

Cloud Computing Techniques for Big Data

Big Data as a Service

Big Data Open Platforms

Big Data in Mobile and Pervasive Computing

Big Data Management

Big Data Persistence and Preservation

Big Data Quality and Provenance Control

Management Issues of Social Network Big Data

Big Data Protection, Integrity and Privacy

Models and Languages for Big Data Protection

Privacy Preserving Big Data Analytics

Big Data Encryption

Security Applications of Big Data

Anomaly Detection in Very Large Scale Systems

Collaborative Threat Detection using Big Data Analytics

Big Data Search and Mining

Algorithms and Systems for Big Data Search

Distributed, and Peer-to-peer Search

Machine learning based on Big Data

Visualization Analytics for Big Data

Big Data for Enterprise, Government and Society

Big Data Economics

Real-life Case Studies of Value Creation through Big Data Analytics

Big Data for Business Model Innovation

Big Data Toolkits

Big Data in Business Performance Management

SME-centric Big Data Analytics

Big Data for Vertical Industries (including Government, Healthcare, and Environment)

Scientific Applications of Big Data

Large-scale Social Media and Recommendation Systems

Experiences with Big Data Project Deployments

Big Data in Enterprise Management Models and Practices

Big Data in Government Management Models and Practices

Big Data in Smart Planet Solutions

Big Data for Enterprise Transformation

ICBDA 2020 Keynote Speakers

Prof. Hui LEI (雷暉教授) - IEEE Fellow

Futurewei Technologies, USA

Prof. Zhu Han (韓竹教授) - IEEE Fellow

University of Houston, USA

Prof. LI Qing (李青教授)?

The Hong Kong Polytechnic University, Hong Kong (香港理工大學)

Prof. Hayato YAMANA?

Waseda University, JAPAN (日本早稻田大學)

ICBDA 2020 Invited Speaker

Prof. Dimitrios Georgakopoulos?

Swinburne University of Technology, Australia