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DaMIS 2017 : DaMIS 2017: The 2nd Edition of the International Workshop on Data Mining on IoT Systems

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Link: http://damis2017.ddns.net
 
When Sep 18, 2017 - Sep 20, 2017
Where Lund, Sweden
Submission Deadline Jun 1, 2017
Notification Due Jun 21, 2017
Final Version Due Jun 28, 2017
Categories    data mining   internet of things   data classification   future internet
 

Call For Papers

International Workshop on Data Mining on IoT Systems (DaMIS 2017)

In conjunction with the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks EUSPN 2017

18-20 September 2017, Lund, Sweden

Workshop co-chairs:

Francesco Piccialli, University of Naples, FEDERICO II
Salvatore Cuomo, University of Naples, FEDERICO II



The widespread diffusion of Internet of Things (IoT) represents a potentially huge amount of data to manage, store and explore. In this scenario, it requires more efficient and scalable data analysis methods and raises additional challenges on data mining and analytics. Data management in IoT systems is an emerging research area and there is generally a deficiency to understand the suitable approaches to support this field. The success of an IoT systems depends on the efficient integration of its devices, sensors and data management techniques.

This workshop aims at gathering researchers interested in data mining challenges for IoT environments. We welcome original unpublished research papers related to topics of the workshop, which include but are not limited to the following:

- IoT platforms for Data analytics on pervasive and ubiquitous environments;
- Data computing on hybrid infrastructures (clusters, clouds, grids,etc.);
- Data Classification on IoT environments;
- Data Representation on IoT environments;
- e-Health data mining for IoT;
- Heterogeneous Source Mining;
- Social Data Mining techniques;
- Social media data analysis and computing;
- Data streams and mining techniques:
- Algorithms for data mining on IoT environments;
- Mining and recommendation techniques for IoT environments;
- Data mining analytics applied to Smart Cities;
- Data mining techniques applied to Cultural Heritage domain;
- IoT architecture, tools and applications;


Submission Deadline: June 1, 2017
Author Notification: June 21, 2017
Camera Ready: June 28, 2017

All DaMIS 2017 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line (SCOPUS, DBLP, ISI INDEXED).

!!-- SELECTED PAPERS WILL BE INVITED TO SUBMIT AN EXTENDED VERSION TO JOURNAL SPECIAL ISSUE --!!


Paper Format
The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Template Generic, Elsevier.

Paper Length
Submitted technical papers must be no longer than 6 pages including all figures, tables and references.

Publication
All accepted papers will be scheduled for oral presentations and will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (on-line). At least one author of each accepted paper is required to register and attend the conference to present the work.

Please, for additional information refer to the web-site: http://http://damis2017.ddns.net


Technical Program Committee

- Tin-Chih Toly Chen, Feng Chia University, Taiwan
- Binshan Lin, BellSouth Professor, Louisiana State University in Shreveport
- Chun-Wei Tsai, National Ilan University, Taiwan
- Jason J. Jung, Chung-Ang University, Korea
- Philip Hills, Centre for Research into Human Communication and Learning, England, United Kingdom
- Laurence T. Yang, St. Francis Xavier University, Canada
- Luis Martinez Lopez, University of Jaen, Spain
- Domenico Talia, University of Calabria, Italy
- Gerardo Toraldo, University of Naples Federico II, Italy
- Livia Marcellino, University of Naples "Parthenope", Italy
- Ardelio Galletti, University of Naples "Parthenope", Italy
- Pasquale De Michele, University of Naples Federico II, Italy
- Flora Amato, University of Naples Federico II, Italy
- Pit Pichappan, Digital Information Research Labs , United Kingdom & India
- Young-Sik Jeong, Dongguk University, South Korea
- Elena Gaura, Coventry University, United Kingdom
- Paolo Missier, Newcastle University, United Kingdom
- James Brusey, Coventry University, United Kingdom
- Himanshu Agrawal, Symbiosis International University, India
- Friedet Ganz, Adobe Systems Engineering
- Pete Woznowski, University of Bristol, United Kingdom
- Paolo Benedusi, In.Tel.Tec. S.P.A, Italy

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