Introduction
Big Data overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got. When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety, Velocity, Veracity. Big data processing key technology generally includes: data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.). In recent years, “Big Data” has become a new ubiquitous term.
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Important date
Topics of interest for submission 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 |
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Important Date
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Conference Date
Mar 09
2018
toMar 12
2018
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Nov 05 2017
Abstract Submission Deadline
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Dec 15 2017
Draft paper submission deadline
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Jan 15 2018
Draft Paper Acceptance Notification
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Mar 12 2018
Registration deadline
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Contact Information
- Ms. Jasmine Nieh
- ic******@vip.163.com
- +86********
Previous Conferences
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2018-11-20 Malaysia
2018 IEEE Conference on Big Data and Analytics -
2018-10-18 Thailand
2018 International Congress on Big Data & Analytics -
2017-11-15 Malaysia Kuching
2017 IEEE Conference on Big Data and Analytics -
2017-03-10 China BeiJing,China
2017 IEEE 2nd International Conference on Big Data Analysis -
2016-03-12 China Hangzhou
2016 IEEE International Conference on Big Data Analysis -
2016-03-12 China Hangzhou, China
2016 IEEE International Conference on Big Data Analysis
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