Conference Information
ICBDA'' 2022: International Congress on Big Data & Analytics
https://intcongress.com/international-congress-on-big-data-analytics-2022/Submission Date: |
2022-07-10 |
Notification Date: |
|
Conference Date: |
2022-08-11 |
Location: |
Hong Kong, China |
Viewed: 5053 Tracked: 1 Attend: 0
Call For Papers
The purpose of ICBDA 2022 is to bring together researchers, mathematicians, engineers, and practitioners interested in various aspects related to Big Data & Analytics. The papers will be made to appear in a book to be published by ASDF HQ, India in EDLIB (www.edlib.net). All the published papers will be indexed by Google Scholar and various other search engines. Conference Topics Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics Representation Formats for Multimedia Big Data Foundational Models for Big Data Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open Platforms Big Data in Mobile and Pervasive Computing Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data in Enterprise Management Models and Practices Management Issues of Social Network Big Data Models and Languages for Big Data Protection Privacy-Preserving Big Data Analytics Big Data Encryption Collaborative Threat Detection using Big Data Analytics Anomaly Detection in Very Large-Scale Systems 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 in Smart Planet Solutions 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 for Enterprise Transformation
Last updated by Dou Sun in 2021-09-21
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Full Name | Impact Factor | Publisher |
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Knowledge Engineering Review | Cambridge University Press | |
Journal of Computer Networks and Communications | 2.000 | Hindawi |
Chemometrics and Intelligent Laboratory Systems | 3.700 | Elsevier |
International Journal of Peer-to-Peer networks | AIRCC | |
Information | MDPI | |
Discrete Applied Mathematics | 1.000 | Elsevier |
The Journal of Strategic Information Systems | 8.700 | Elsevier |
Library Hi Tech | 3.400 | Emerald |
Computing in Science & Engineering | 1.800 | IEEE |
Journal of Computing in Civil Engineering | 4.700 | ASCE |
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