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The Second International Conference on Data Analytics
DATA ANALYTICS 2013
September 29 - October 3, 2013 - Porto, Portugal |
Technical Co-Sponsors and Logistics Supporters |
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ARCHIVE |
printer friendly pdf version |
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- Colocated with other events part of NexTech 2013
- Featuring the workshop:
- FEOSW 2013, The Second International Workshop on Finance and Economics on the Semantic Web
- 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
Submission (full paper) |
April 30, 2013 May 20, 2013 |
Notification |
June 17, 2013 |
Registration |
July 1, 2013 |
Camera ready |
July 15, 2013 |
ISSN: 2308-4464
ISBN: 978-1-61208-295-0 |
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All tracks/topics are open to both research and industry contributions.
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