活动简介

Big Data analytics are emerging fields that have recently drawn much attention from research communities in computer science, information technology, social science, and many other disciplines.  In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. 2022 the 7th International Conference on Big Data Analytics (ICBDA) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application.

ICBDA calls for submission of work from a wide range of domains, including but not limited to smart systems (e.g. in cities, automobiles, farms, etc.), cyber-physical systems, Internet of Things applications, healthcare, social networks, and media. Authors are encouraged to submit papers covering big data topics, such as service-oriented technologies, machine learning, predictive analytics, data modeling, system architectures, data mining, and simulation. 

ICBDA2022 is co-sponsored by Research Institute of Big Data Analytics, Xi'an Jiaotong-Liverpool University, China and IEEE Guangzhou Section.

Sponsor Type:3; 9

征稿信息

2022 the 7th International Conference on Big Data Analytics (ICBDA) has established itself as the world’s premier research conference in Big Data Analytics. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. ICBDA draws researchers, application developers, and practitioners from a wide range of Big Data Analytics related areas such as Big Data Models and Algorithms, Big Data Architectures, Big Data Management, Big Data Protection, Big Data Search and Mining and Big Data for Enterprise, Government and Society. By promoting novel, high-quality research findings, and innovative solutions to challenging Big Data Analytics, the conference seeks to advance the state-of-the-art in Big Data Analytics.

征稿范围

Topics of Interest

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

Blockchain

Blockchain based lightweight data structures for IoT data
Blockchain based IoT security solutions
Blockchain in cyber physical systems
Blockchain in social networking
Bolckchain in crowdsourcing and crowdsensing
Blockchain in 5G
Blockchain in edge and cloud computing
Blockchain and trust management

作者指南

Paper submissions should be limited to a maximum of ten (10) pages, in the 2-column format, including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors.

Accepted papers will be published in the conference proceedings. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. All paper submissions will be carefully reviewed by two experts and reviews will be returned to the author(s) with comments to ensure the high quality of the accepted papers.

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重要日期
  • 会议日期

    03月04日

    2022

    03月06日

    2022

  • 03月06日 2022

    注册截止日期

主办单位
Guangzhou Section Xi'an Jiaotong Liverpool University
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