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DATA ANALYTICS 2020 : The Ninth International Conference on Data Analytics

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Link: https://www.iaria.org/conferences2020/DATAANALYTICS20.html
 
When Jul 26, 2020 - Jul 30, 2020
Where Nice, France
Submission Deadline May 17, 2020
Notification Due Jul 17, 2020
Final Version Due Jul 31, 2020
Categories    big data   analytics   huge data   opinion analysis
 

Call For Papers

INVITATION:

=================

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- DATA ANALYTICS 2020, The Ninth International Conference on Data Analytics

The submission deadline is May 17, 2020

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org

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============== DATA ANALYTICS 2020 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS


DATA ANALYTICS 2020, The Ninth International Conference on Data Analytics

General page: http://www.iaria.org/conferences2020/DATAANALYTICS20.html

Submission page: http://www.iaria.org/conferences2020/SubmitDATAANALYTICS20.html


Event schedule: July 26 - 30, 2020 - Nice, France


Contributions:

- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at www.iaria.org]

- presentations: slide only [slide-deck posted at www.iaria.org]

- demos: two pages [posted at www.iaria.org]

- doctoral forum submissions: [in the proceedings, digital library]


Proposals for:

- mini symposia: see http://www.iaria.org/symposium.html

- workshops: see http://www.iaria.org/workshop.html

- tutorials: [slide-deck posed on www.iaria.org]

- panels: [slide-deck posed on www.iaria.org]


Submission deadline: March 17, 2020


Sponsored by IARIA, www.iaria.org

Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org


The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html


DATA ANALYTICS 2020 Topics (for topics and submission details: see CfP on the site)

Call for Papers: http://www.iaria.org/conferences2020/CfPDATAANALYTICS20.html

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Fundamentals for data analytics

Tools, frameworks and mechanisms for data analytics; Open API for data analytics; In-database analytics; Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.); Analytics visualization; Multi-modal support for data analytics; Google/FaceBook/Twitter/etc. analytics; High-performance data analytics

Advanced topics in Deep/Machine learning

Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Human behavioral predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Machine learning for systems.

Mechanisms and features

Scalable data analytics; Big data analytics; Deep data analytics; Mass data analytics; Storing, dropping and filtering data; Relevant/redundant/obsolete data analytics; Volume vs. semantics analytics; Nomad analytics; Predictive analytics; Trust in data analytics; Legal issues analytics; Failure on data analytics

Sentiment/opinion analysis

Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis.

Application-oriented analytics

Statistical applications; Simulation applications; Crawling web services; Cross-database analytics; Forecast analytics; Financial risk management; ROI analytics

Target analytics

Business analytics; Malware analytics; Cyber-threats analytics; Mining user logs; Reputation analytics; User choice analytics; Branding analytics; Utility proximity-search analytics; Survey-based online asset analytics; Online employment analytics; Geology analytics; Global climate analytics; Remote learning analytics; Homecare analytics; Population growth and migration analytics; Food-borne illness outbreaks analytics

Big Data

Foundational models for Big Data; Big Data Analytics and Metrics; Big Data processing and management; Big Data search and mining; Big Data platforms; Big Data persistence and preservation; Big Data and social networks; Big Data economics

Huge data

Knowledge Discovery from Huge Data; Computational Intelligence for Huge Data; Linked Huge Data; Security Intelligence with Huge Data

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DATA ANALYTICS 2020 Committee: http://www.iaria.org/conferences2020/ComDATAANALYTICS20.html

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