============== DATA ANALYTICS 2015 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
July 19 – 24, 2015 – Nice, France
General page: http://www.iaria.org/conferenc
Call for Papers: http://www.iaria.org/conferenc
Submission page: http://www.iaria.org/conferenc
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:
– symposia: see http://www.iaria.org/symposium
– workshops: see http://www.iaria.org/workshop.
– tutorials: [slide-deck posed on www.iaria.org]
– panels: [slide-deck posed on www.iaria.org]
Submission deadline: February 27, 2015
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/976
Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
Please note the Poster and Work in Progress options.
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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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 conform with the Editorial rules: http://www.iaria.org/editorial
DATA ANALYTICS 2015 Topics (topics and submission details: see CfP on the site)
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
Committee: http://www.iaria.org/conferenc
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DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
September 12th, 2014 CI2S Enterprise Content Admin
Posted in Congress, Country, France Tags: Applications of sentiment analysis. Application-oriented analytics, Architectures for generic sentiment analysis systems, Aspect-based analysis, Big data analytics, Big Data Analytics and Metrics, Big Data and social networks, Big Data economics Huge data, Big Data persistence and preservation, Big Data platforms, Big Data processing and management, Big Data search and mining, Branding analytics, Business analytics, Comparative-sentiment analysis, Computational Intelligence for Huge Data, Crawling web services, Cross-database analytics, Cyber-threats analytics, Deep data analytics, Document-level analysis, dropping and filtering data, Failure on data analytics Sentiment/opinion analysis, Financial risk management, Food-borne illness outbreaks analytics Big Data, Forecast analytics, Foundational models for Big Data, Geology analytics, Global climate analytics, Homecare analytics, Knowledge Discovery from Huge Data, Legal issues analytics, Linked Huge Data, Malware analytics, Mass data analytics, Mining user logs, Nomad analytics, Online employment analytics, Optimizing sentiment analysis algorithms, Population growth and migration analytics, Predictive analytics, Relevant/redundant/obsolete data analytics, Remote learning analytics, Reputation analytics, ROI analytics Target analytics, Scalable data analytics, Security Intelligence with Huge Data, Sentence-level analysis, Sentiment analysis techniques on social media, Sentiment lexicon acquisition, Simulation applications, Statistical applications, Storing, Survey-based online asset analytics, Trust in data analytics, User choice analytics, Utility proximity-search analytics, Volume vs. semantics analytics
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