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WBDC 2019 - Ei Compendex & Scopus 2019 : 2019 International Workshop on Big Data and Computing(WBDC 2019)

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Link: http://www.iwbdc.org/
 
When Aug 23, 2019 - Aug 25, 2019
Where Vancouver, Canada
Submission Deadline Jul 31, 2019
Notification Due Jul 31, 2019
Final Version Due Jul 31, 2019
Categories    big data   computing
 

Call For Papers

★2019 International Workshop on Big Data and Computing(WBDC 2019) - Ei Compendex & Scopus—Call for paper 
August 23-25, 2019|Vancouver, Canada|Website: http://www.iwbdc.org/

★Venue: Τhe University of British Columbia,Vancouver, Canada
The University of British Columbia (UBC) is a public research university with campuses in Vancouver and Kelowna, British Columbia. Established in 1908, UBC is British Columbia's oldest university. The university is ranked among the top 20 public universities worldwide and among the top three in Canada.

★Researchers, scientists, engineers and industry professionals will join together this year at WBDC 2019, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Big Data and Computing is entering an era of unprecedented change and innovation. WBDC 2019 presents one of 2019’s premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field.

★Publication and Indexing
All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in journals.
★Keynote Speakers
Prof.Shikharesh Majumdar, Carleton University, Canada
Dr.Ziad Kobti, University of Windsor, Canada

★Program Preview/ Program at a glance
August 23, 2019: Registration + Icebreaker Reception
August 24, 2019: Opening Ceremony+ KN Speech+ Technical Sessions 
August 25, 2019: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1. PDF version submit via CMT: https://cmt3.research.microsoft.com/WBDC2019
2.Submit Via email directly to: wbdc@hksra.org

★CONTACT US
Ms.Tiya T. Deng
Email: wbdc@hksra.org
Website: http://www.iwbdc.org/

Call for papers(http://www.iwbdc.org/cfp.html):
WBDC solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles in all areas of Big Data and Computing are of interest, including the following:



Algorithmic, experimental, prototyping and implementation

Applications and Evaluation of Real-Time Big Data Systems

Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment

Big Data Algorithms, Applications and Services

Big Data Analytics and Machine and Deep Learning

Big Data Analytics in Government, Public Sector and Society in General

Big Data Analytics in Small Business Enterprises (SMEs)

Big Data Applications

Big Data Architectures

Big Data as a Service

Big Data Education

Big Data for Improving Resilient Infrastructures

Big Data for Social Networking

Big Data Industry Standards

Big Data Management

Big Data Mining and Analytics

Big Data Models and Algorithms

Big Data Open Platforms

Big Data Processing and Querying

Big Data Search, Mining, and Visualization

Big Data Security, Privacy and Trust

Big Data Visualization

Cloud and Big Data for Internet of Things (IoT)

Cloud Computing Solutions and Platforms

Cloud/Grid/Stream Computing for Big Data

Compiler Technologies

Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication

Computers and Society, Interdisciplinary Applications

Computing, scheduling and resource management for sustainability

Data and Information Quality for Big Data

Data intensive computing theorems and technologies

Data quality issues: such as validation, metrics, optimizations and consistency

Data-driven innovation, computational modelling and data integration

Embedded and Cyber-Physical Systems

Enabling Resources for Big Data Research

Energy-efficient Computing for Big Data

Experiences with Big Data Project Deployments

Government and Industrial Experiences for Cloud and Big Data

Green Computing and Networking Technologies for Cloud and Big Data

Green data centers / environmental-friendly perspectives green data centers / environmental-friendly perspectives

High Performance/Parallel Computing Platforms for Big Data

Innovative Approaches, Algorithms, and Models of Computing,

Large-Scale System Design

New Computational Models for Big Data

New Data Standards

New Programming Models for Big Data beyond Hadoop/MapReduce, STORM

Novel Theoretical Models for Big Data

Privacy and Security for Cloud and Big Data

Programming Languages, Models, and Runtimes

Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data

Quality of Big Data Services

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

Software and tools for big data management

Software Engineering for Cloud Computing and Big Data

Software Systems to Support Big Data Computing

Software Techniques and Architectures in Cloud/Grid/Stream Computing

Software, hardware and algorithm co-design, high-performance computing

Techniques and Algorithms for Real-Time Big Data Analytics

Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS

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