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2nd International workshop on Data Analytics solutions for Real-LIfe APplications 
                        (DARLI-AP 2018) 
              March 26th 2018 Vienna, Austria
              website: http://dbdmg.polito.it/darli-ap2018/

In conjunction with with EDBT/ICDT 2018 Joint Conference 
              March 26th-29th 2018 Vienna, Austria
                     http://edbticdt2018.at/

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                   Submission deadline: December 23th, 2017
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Workshop overview
In the last few years, the use of Information and Communication Technologies has made 
available a huge amount of heterogeneous data in various real application domains. 
For example, in the urban scenario Internet of Things (IoT) systems capture massive 
data collections describing the overall urban environment as well citizen exploitation 
and perception of available services. In health care systems, electronic health records 
allow storing a variety of information about patients as adopted treatments and monitored 
physiological conditions, while Internet of Medical Things (IoMT) ensures the availability 
and processing of healthcare data through smart medical devices and web. Moreover, in most 
domains, individual plays a crucial role generating data on the one side, but also driving 
a user and context aware analysis process, and finally demanding an easily accessible and 
understandable knowledge at the end of the process.

Digging deep these data collections can unearth a rich spectrum of knowledge in the targeted 
domain valuable to characterize user behaviours, identify weaknesses and strengths, improve 
the quality of provided services or even devise new ones. However, data analytics on these 
data collections is still a daunting task, because they are generally too big and heterogeneous 
to be processed through data analysis techniques currently available. Consequently, various 
challenges about data science arise dealing with creation, storage, search, sharing, modelling, 
analysis, and visualization of data, information, and knowledge.

Suitable data fusion techniques and data representation paradigms should be devised to integrate 
the heterogeneous collected data into a unified representation describing all facets of the 
targeted domain. Moreover, huge volume of data demands the definition of novel data analytics 
strategies also exploiting recent analysis paradigms and cloud based platforms as Hadoop and 
Spark. Proper strategies can also be devised for data and knowledge visualization, possibly 
also involving user interactive interfaces.

The aim of the workshop is to allow academics and practitioners from various research areas 
to share their experiences on designing cutting-edge analytics solutions for real-life applications. 
Researchers are encouraged to submit their work-in-progress research activity describing 
innovative methodologies, algorithms, platforms addressing all facets of a data analytics 
process providing interesting and useful services.

Industrial implementations of data analytics applications, design and deployment experience 
reports on various issues raising data analytics projects are particularly welcome. We call 
for research and experience papers as well as demonstration proposals covering any aspect of 
data analytics solutions for real-life applications. 

 
Workshop topics 
We invite the submission of work-in-progress research addressing various aspects of data 
management and analytics for real-life applications. The workshop welcomes submissions of 
technical, experimental, methodological papers, application papers, and papers on experience 
reports in real-life application settings addressing – though not limited to – the following topics:

-- Concepts, methodologies, innovative solutions for sensing, modelling, managing, mining, 
and understanding people behaviour and activity
-- Perception-aware data processing and analytics
-- Interactive query refinement and processing
-- Innovative solutions for exploring, analysing and visualizing data
-- Data fusion techniques and data representation paradigms
-- Crowd-powered data infrastructure
-- User-controlled algorithms for data integration, cleaning, and analysis
-- Recommendations for people and analysts in real-life settings
-- Database systems designed for highly interactive applications

In one of – though not limited to – the following application scenarios:

++ Healthcare applications
++ Industry 4.0
++ Public safety and security
++ Energy applications
++ Citizens' mobility and transportation
++ Urban economy and urban environments
++ Financial applications
++ Banking and insurance
++ User-generated content (like tweets, micro-blog, check-ins, photos)
++ Networking and Telecommunication applications

Important dates
Submission deadline: December 23th, 2017  <-- NEW DEADLINE
Notification of evaluation results: January 10th, 2018
Camera-ready deadline: January 29th, 2018

Submission instructions
Submissions should present original results and substantial new work not currently 
under review or published elsewhere. This workshop accepts:

-- Research papers (up to 8 pages) including novel approaches for methodologies and 
   algorithms in real-life applications 
-- Application papers (up to 6 pages) describing the exploitation of data management 
   and analytics solutions in real-life applications
-- Industrial papers (up to 4 pages) describing experiences in the industry sectors.

Papers must comply with the ACM Proceedings Format. Manuscript Templates for Workshop 
Proceedings can be found at http://edbticdt2018.at/downloads/

Papers should be submitted in PDF format using the online easychair submission system 
https://easychair.org/conferences/?conf=darliap2018.

Publication
The proceedings of the DARLI-AP 2018 workshop will be published online as a volume of 
the CEUR Workshop Proceedings (http://www.ceur-ws.org/), a well-known website for publishing workshop proceedings. 
It is indexed by the major publication portals, such as Citeseer, DBLP and Google Scholar.


Workshop Co-Chairs
Tania Cerquitelli (Politecnico di Torino, Italy, tania DOT cerquitelli AT polito DOT it)
Silvia Chiusano (Politecnico di Torino, Italy, silvia DOT chiusano AT polito DOT it) 
Genoveva Vargas-Solar (CNRS, LIG-LAFMIA, France, genoveva. DOT vargas AT imag DOT fr)


Contact Information
If you have any question or information request on DaS 2017 workshop, please send an email to tania DOT cerquitelli AT polito DOT IT.