[AISWorld] Fwd: CFP:The 5th International Conference on Big Data Innovations and Applications (Innovate-Data 2019)
ffchua
ffchua at mmu.edu.my
Mon Jan 28 20:02:58 EST 2019
-------- Original Message --------
Subject: CFP:The 5th International Conference on Big Data Innovations
and Applications (Innovate-Data 2019)
Date: 2018-12-19 08:28
From: ffchua <ffchua at mmu.edu.my>
To: aisworld at lists.aisnet.org
------------------------ Call for Papers -----------------------------
The 5th International Conference on Big Data Innovations and
Applications (Innovate-Data 2019)
26-28 August 2019, Istanbul, Turkey
http://www.ficloud.org/innovate-data-2019/
(Planned for Springer: Communications in Computer and Information
Science (CCIS))
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Big data has become a key asset in modern societies, economies, and
governmental organizations. Big data encompasses various kinds of
complex and large scale information that are beyond the processing
capabilities of conventional software and databases. The increasing
volume and velocity of the data, captured by business organizations, web
repositories, social media, data centres, cloud and IoT, have resulted
in the exponential growth of big data. Big data provides a key basis for
innovations in various domains and applications. It can benefit data
managers, developers, companies and various kinds of organizations to
carry out useful analysis of data pattern and trends, make intelligent
decisions, and solve complex problems that can help societies and
economies and speed up innovations. The aim of the Innovate-Data
conference is to promote the state of the art in scientific and
practical research of big data and to bring together researchers and
practitioners from academia, industry, and public sector in an effort to
present their research work and share research and development ideas.
CONFERENCE TRACKS:
Track: Big Data Storage, Representation and Processing
Topics: Data storage; Data representation and structures; Data
management; Data processing; Data engineering and design; Storages and
network requirements
Track: Big Data Security, Privacy and Trust
Topics: Data Security; Data Privacy; Data Trust; Data protection and
integrity; Legal and ethical issues; Identity theft; Data loss and
leakage
Track: Big Data Models, Infrastructure and Platforms
Topics: Data models; NoSQL databases; Data consistency and availability;
Fault tolerance and reliability; Network models and protocols;
Performance evaluation; Resource management; Transaction management;
RDBMS and big data; Memcached systems and techniques
Track: Visualisation of Big Data
Topics: Data visualisation, Visual representation; Usability and user
interaction; Graphs models and techniques for big data; Data acquisition
and cleaning
Track: Big Data Analytics and Metrics
Topics: Analytics models; Tools and technologies; Data patterns;
Business intelligence and decision making; Optimization of resources and
cost; Customer relations and satisfaction; Data economics; Metrics for
big data; Analysis of online reviews
Track: Big Data Science
Topics: Big data science models; Data searching and mining;
Methodologies and use cases; Machine learning and deep learning;
Algorithms and formal models; Mathematical and Statistical models for
big data; Interdisciplinary approaches and methods
Track: Big Data Applications and Innovations
Topics: Business applications; Social media and networks; Healthcare
applications; Government and public sector systems; Multimedia and data
streaming; Personal data logging and quantified-self; Context-aware
data; Big data in cloud and IoT; Personalisation of data; Open and
linked data
Submission Instructions:
Full papers must be in English and must not exceed 12 pages. Short
papers should be limited to 8 pages. Papers should be formatted in
Springer's LNCS format. See submission instructions on the conference
website.
Publication:
All accepted papers are planned to be included in the conference
proceedings published by Springer in the Lecture Notes in Computer
Science (LNCS) series. For each accepted paper, at least one author must
register for the conference and present the paper. Authors of selected
papers will be invited to submit an extended version of their papers for
a special issues in international journals (see conference website).
Lecture Notes in Computer Science (LNCS) series is indexed by the ISI
Conference Proceedings Citation Index - Science (CPCI-S), included in
ISI Web of Science, EI Engineering Index (Compendex and Inspec
databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See
LNCS - Information on Abstracting and Indexing
(http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0)
Authors of selected papers will be invited to submit an extended version
of their papers for a special issues in international journals (see
Journal Special Issues section).
Important Dates:
Submission Deadline: 11 March 2019
Authors Notification: 20 May 2019
Final Manuscript Due: 14 June 2019
General Chair:
William Knottenbelt, Imperial Colledge London, UK
Program Co-Chairs:
Salima Benbernou, Université Paris Descartes, France
Muhammad Younas, Oxford Brookes University, UK
Local Organising Co-Chairs:
Perin Ünal, Teknopar, Turkey
Sezer Gören Ugurdag, Yeditepe University, Turkey
Tacha Serif, Yeditepe University, Turkey
Publication Chair:
Irfan Awan, University of Bradford, UK
Workshop Coordinator:
Filipe Portela, University of Minho, Portugal
Publicity Chair:
Fang-Fang Chua, Multimedia University, Malaysia
Journal Special Issues Coordinator:
Lin Guan, Loughborough University, UK
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