Friday, February 20, 2015

[DMANET] Deadline extension: DATA ANALYTICS 2015 || July 19 - 24, 2015 - Nice, France


The submission deadline is March 12, 2015.

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 2015.

Authors of selected papers will be invited to submit extended article
versions to one of the IARIA Journals:

============== DATA ANALYTICS 2015 | Call for Papers ===============


DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics

July 19 - 24, 2015 - Nice, France

General page:

Call for Papers:

Submission page:

- 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]
- presentations: slide only [slide-deck posted at]
- demos: two pages [posted at]
- doctoral forum submissions: [in the proceedings, digital library]

Proposals for:
- mini-symposia: see
- workshops: see
- tutorials: [slide-deck posed on]
- panels: [slide-deck posed on]

Submission deadline: March 12, 2015

Sponsored by IARIA,
Extended versions of selected papers will be published in IARIA
Print proceedings will be available via Curran Associates, Inc.:
Articles will be archived in the free access ThinkMind Digital Library:

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are invited to submit complete unpublished papers, which are not under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:

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

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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