2022 5th International Conference on Big Data and Education (ICBDE 2022)

Conference / Summit (onsite)
Big Data & Analytics Education Management

Address: Venue to be announced, Shanghai, China
Date: 26 to 28 Feb '22

Visit Event Website


Paper publication: 

We welcome and encourage the submission of high-quality, original papers, which are not being submitted simultaneously for publication elsewhere. ICBDE 2022 welcomes submission of papers concerning any branch of the Big Data and Education, and their applications ineducation, and other subjects. The subjects covered by the ICBDE 2022 include Big Data Applications, Big Data Algorithms, E-learning, Online Education, Digital classrooms , Big Data Mining and Analytics, ect...and their applications. 


Accepted papers of ICBDE 2022 after proper registration and presentation will be published in the conference proceedings, which will be included in the Digital Library and indexed by Ei Compendex, Scopus, etc. 


Conference Schedule : 

Feb. 26, 2022-Registration and Collecting Conference Materials 

Feb. 27, 2022-Keynote Speeches and Technical Sessions 

Feb. 28, 2022-Academic Tour 


Contact us: 

Conference Secretary: Ms. Cyrry Lin 

Tel.: +86-13636669198 

E-mail address: icbde@academic.net

Big Data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used softwa re 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. 

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of ICBDE 2022. The topics are not limited to those as below: Download the CFP Flyer

Big Data Science
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards

Big Data Applications
Big Data Analytics in Small Business Enterprises (SMEs)
Big Data Analytics in Government
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data Industry Standards
Experiences with Big Data Project Deployments
Novel Theoretical Models for Big Data

Big Data Infrastructure
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms
Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
Energy-efficient Computing for Big Data
Big Data Open Platforms

Big Data Management
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Link and Graph Mining
Mobility and Big Data

Big Data Search & 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
Computational Modeling and Data Integration
Cloud/Grid/StreamData Mining- Big Velocity Data
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data-Big Variety Data

Big Data Security, Privacy & Trust
Intrusion Detection for Gigabit Networks
Anomaly and APT Detection in Very Large Scale Systems
High Performance Cryptography
Visualizing Large Scale Security Data
Threat Detection using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data Collection/Analytics
HCI Challenges for Big Data Security & Privacy
User Studies for any of the above
Sociological Aspects of Big Data Privacy
Trust management in IoT and other Big Data Systems

E-education 
e-Learning platforms
Portals and Virtual learning 
Partnerships in e-Learning
Systems, Design and Technologies
Evaluation of e-Learning
Cross-cultural 
e-Learning strategies
Social benefits of e-Learning
e-Learning effectiveness and outcomes 
Web-based learning 
Academic participation and freedom
AV-communication and other media 
Digital classrooms 
Content repositories 
Collaborative on-line learning
Data envelopment analysis
Meta data standards 
Systems and technologies in e-education
Applications and integration of e-education
E-learning evaluation and content
Campus information systems
Mobile learning
Computer aided assessments
Multimedia in e-learning
Marketing and promoting e-learning
Social benefits of e-learning

Education
Biology Education
Elementary Education 
E-learning
ESL/TESL
Family Education
Graduate and Postgraduate School of Curriculum Instruction
Higher Education
Information and Communications Technology in Education
Information and Computer Education
Language and Creative Writing
Language Education 
Mathematics Education
Virtual learning environments
Organization learning
Technology adoption and diffusion of e-learning
Education Science
Blended learning 
Course design 
Emerging and best practices
Cross-cultural 
Security and confidentiality 
Self-learning integrated methodology 
Ambient intelligence 
Assertive and assistive educational technology
Learning content management systems 
Needs analysis 

Big Data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used softwa re 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. 

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of ICBDE 2022. The topics are not limited to those as below: Download the CFP Flyer

Big Data Science
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards

Big Data Applications
Big Data Analytics in Small Business Enterprises (SMEs)
Big Data Analytics in Government
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data Industry Standards
Experiences with Big Data Project Deployments
Novel Theoretical Models for Big Data

Big Data Infrastructure
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms
Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
Energy-efficient Computing for Big Data
Big Data Open Platforms

Big Data Management
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Link and Graph Mining
Mobility and Big Data

Big Data Search & 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
Computational Modeling and Data Integration
Cloud/Grid/StreamData Mining- Big Velocity Data
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data-Big Variety Data

Big Data Security, Privacy & Trust
Intrusion Detection for Gigabit Networks
Anomaly and APT Detection in Very Large Scale Systems
High Performance Cryptography
Visualizing Large Scale Security Data
Threat Detection using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data Collection/Analytics
HCI Challenges for Big Data Security & Privacy
User Studies for any of the above
Sociological Aspects of Big Data Privacy
Trust management in IoT and other Big Data Systems

E-education 
e-Learning platforms
Portals and Virtual learning 
Partnerships in e-Learning
Systems, Design and Technologies
Evaluation of e-Learning
Cross-cultural 
e-Learning strategies
Social benefits of e-Learning
e-Learning effectiveness and outcomes 
Web-based learning 
Academic participation and freedom
AV-communication and other media 
Digital classrooms 
Content repositories 
Collaborative on-line learning
Data envelopment analysis
Meta data standards 
Systems and technologies in e-education
Applications and integration of e-education
E-learning evaluation and content
Campus information systems
Mobile learning
Computer aided assessments
Multimedia in e-learning
Marketing and promoting e-learning
Social benefits of e-learning

Education
Biology Education
Elementary Education 
E-learning
ESL/TESL
Family Education
Graduate and Postgraduate School of Curriculum Instruction
Higher Education
Information and Communications Technology in Education
Information and Computer Education
Language and Creative Writing
Language Education 
Mathematics Education
Virtual learning environments
Organization learning
Technology adoption and diffusion of e-learning
Education Science
Blended learning 
Course design 
Emerging and best practices
Cross-cultural 
Security and confidentiality 
Self-learning integrated methodology 
Ambient intelligence 
Assertive and assistive educational technology
Learning content management systems 
Needs analysis 

Ljiljana Trajkovic

IEEE Life Fellow

IConf

Media Partner

Venue

Venue to be announced

Organizer

International Economics Development and Research Center

Venue

Venue to be announced

Organizer

International Economics Development and Research Center

Copyright © 2021 Industry Events. All rights reserved. Site credit.