The Fifth International Conference on Data Analytics DATA ANALYTICS 2016 October 9 - 13, 2016 - Venice, Italy

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Details:

Colocated with other events part of NexTech 2016 Posters will be presented during the conference A Work in Progress track is available for preliminary work A Research Ideas track is available for ideas in early stages A Doctoral Forum track is available for discussing and publishing early PhD thesis research Submission (full paper) May 23 June 17, 2016 Notification July 19, 2016 Registration August 2, 2016 Camera ready August 30, 2016 ISSN: 2308-4464 ISBN: 978-1-61208-510-4

Published by IARIA XPS Press Archived in the free access ThinkMindTM Digital Library Prints available at Curran Associates, Inc. Authors of selected papers will be invited to submit extended versions to a IARIA Journal Articles will be submitted to appropriate indexes. conference contact: [email protected]

All tracks/topics are open to both research and industry contributions.

Special sessions:

DAAC: Data Analytics thought an Analytics Culture
Session Chair and Coordinator: Dr. Ali Jarvandi, George Washington University, USA

CDBD: Challenges in Dealing with Big Data
Session Chair and Coordinator:  (PhD Candidate) Mingjie Tang, Purdue University, USA

TTASC: Transport and Traffic Analytics in Smart Cities
Chair and Coordinator: Asst. Prof. Ivana Semanjski, University of Zagreb, Croatia / Ghent University, Belgium

Main tracks:

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

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