[AISWorld] CFP: Big Data Innovations and Applications (Innovate-Data 2019)

Innovate-Data obd.conference at gmail.com
Tue Jan 29 08:09:13 EST 2019


------------------------ 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/

(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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