1st International workshop on Data Analytics solutions for Real-LIfe APplications
June 23th, 2017 Exeter, United Kingdom, UK

in conjunction with The 3rd IEEE International Conference on Smart Data 
June 21-23, 2017 Exeter, England, UK

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 behaviors, 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, modeling, 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, modeling, managing, mining, and understanding people behavior and activity
  • Perception-aware data processing and analytics 
  • Interactive query refinement and processing 
  • Innovative solutions for exploring, analyzing 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
  • Public safety and security
  • Citizens' mobility and transportation
  • Urban economy and urban environments
  • Financial applications
  • Banking and insurance
  • User-generated content (like tweets, micro-blog, check-ins, photos)

 Important dates

  • Submission Due:  March 30th, 2017
  • Notification of acceptance/rejection:  April 22th, 2017
  • Camera-Ready Submission: May 15th, 2017

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 data management and analytics for real-life applications 
  • Industrial papers (up to 4 pages) describing experiences in the industry sectors. 

Papers must comply with the IEEE formatting guidelines. You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/

Manuscript Templates for Workshop Proceedings can be found at https://www.ieee.org/conferences_events/conferences/publishing/templates.htmlPapers should be submitted in PDF format using the online easychair submission system https://easychair.org/conferences/?conf=darliap2017

  

Publication

This workshop papers will come out as part of the IEEE Smart Data 2017 conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the worlshop. 

Workshop co-chairs

Tania Cerquitelli (Politecnico di Torino)
Silvia Chiusano (Politecnico di Torino) 
Genoveva Vargas-Solar (CNRS, France)

Program Committee

Khalid Belhajjame (University Paris Dauphine, France)
Houssem Chihoub (Laboratory of Informatics of Grenoble, France)
Alfredo Cuzzocrea (University of Trieste, Italy)
Patrick Lambrix ( Linköping University, Sweden)
Elisa Quintarelli (Politecnico di Milano, Italy)
Philippe Owezarski (LAAS-CNRS, France)
Xiaolan Sha (Sky, UK)
Paolo Soda (Università Campus Bio-Medico di Roma, Italy)
Jose Luis Zechinelli Martini (Universidad de las Américas, Mexico)

 Contact Information

If you have any question or information request on this workshop, please send an email to tania.cerquitelli AT polito DOT it.