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CALL FOR PAPERS
BigD2M Workshop
Big Data and Data Mining Challenges on IoT and Pervasive Systems (BigD2M)
Paper Submission: January 31, 2015 (extended)
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In conjunction with the 6th Conference on Ambient Systems, Networks and Technologies (ANT-2015)
Data analytics and data mining have become strategic components for today's businesses. Manipulating large volumes of data, integrating information from different sources and formats and extracting useful insights from it has only been possible with the development of new techniques and tools, nowadays known under the Big Data appellation. The upcoming of the Internet of Things (IoT) not only represents an additional volume of data to explore and the need for more efficient and scalable data analysis methods, but also raises additional challenges on data management, distribution, storage and their integration into the enterprises’ information systems. Such information systems have to evolve and become Pervasive Information System thanks to this new ubiquitous environment made available by IoT. Hence, IoT opens new perspectives for the enterprises that will be able to manage and extract information from these pervasive systems.
This workshop aims at gathering researchers interested in the big data and data mining challenges for pervasive systems and IoT environments. We welcome original unpublished research papers (as well as practical experience reports) related to topics of the workshop, which include but are not limited to the following:
* Data-intensive computing on hybrid infrastructures (e.g., clusters, clouds, grids, P2P)
* Data streams mining techniques
* Data streams processing systems and real-time decision support
* Data analytics on pervasive grids
* Heterogeneous Source Mining
* Algorithms for big data analytics and data mining on pervasive environments
* Mining and recommendation techniques for pervasive environments
* Sampling for Big Data
* Big data analytics and mining applications for pervasive systems
* Big data analytics applied to Smart Cities
* Data mining techniques for sensor data
* Programming models, including MapReduce, extensions, and new models applied to pervasive environments
* Scalability and elasticity in big data environments
* Fault-tolerance and reliability in big data environments
* Performance analysis of big data tools and applications in pervasive environments
* Software-defined networks for big data analytics and data mining
* Scheduling and resource management in big data environments
* Challenges in big data storage and processing
* Big data tools, services, and infrastructures on clouds
IMPORTANT DATES
* Paper Submission: January 31, 2015 (extended)
* Notification of Acceptance: March 1, 2015
* Final Manuscript: April 1, 2015
PAPER SUBMISSION AND PUBLICATION
The number of pages is limited to 6 pages, including all figures, tables and references.
All papers for BigD2M must be submitted via EasyChair at https://easychair.org/
The submitted paper must be formatted according to the guidelines of Procedia Computer Science, Elsevier, with templates for Word and Latex available at http://cosy.univ-reims.fr/
All workshops accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line and hosted at ScienceDirect (www.sciencedirect.com). A selection of outstanding papers presented at the workshop, after further revision, will be considered for publication in journals special issues.
Workshop Chairs
* Luiz Angelo Steffenel, Université de Reims Champagne-Ardenne, France
* Manuele Kirsch Pinheiro, Université Paris 1 Panthéon Sorbonne, France
* Bénédicte Le Grand, Université Paris 1 Panthéon Sorbonne, France
* Carine Souveyet, Université Paris 1 Panthéon Sorbonne, France
Program Committee
* Andrea Schwartner Charão, Universidade Federal de Santa Maria, Brazil
* Bénédicte Le Grand, Université Paris 1 Panthéon Sorbonne, France
* Benhur Stein, Universidade Federal de Santa Maria, Brazil
* Carine Souveyet, Université Paris 1 Panthéon Sorbonne, France
* Carlos Jaime Barrios Hernandez, Universidad Industrial de Santander, Colombia
* Claudio Geyer, Universidade Federal do Rio Grande do Sul, Brazil
* Esther Pacitti, Université Montpellier 2, France
* Florent Nolot, Université de Reims Champagne-Ardenne, France
* Luiz Angelo Steffenel, Université de Reims Champagne-Ardenne, France
* Manuele Kirsch Pinheiro, Université Paris 1 Panthéon Sorbonne, France
* Olivier Flauzac, Université de Reims Champagne-Ardenne, France
* Patricia Pitthan De Araújo Barcelos, Universidade Federal de Santa Maria, Brazil
* Raja Chiky, Institut Supérieur d’Électronique de Paris, France
* Raul Ramos Pollán, Universidad Industrial de Santander, Colombia
* Sergio Nesmachnow, Universidad de la República, Uruguay
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Luiz Angelo Steffenel
Luiz Angelo Steffenel
Maître de Conférences en Informatique
Université de Reims Champagne-Ardenne
Laboratoire CReSTIC - Équipe SysCom
luiz-angelo.steffenel@univ-
http://cosy.univ-reims.fr/~
luiz-angelo.steffenel@univ-
http://cosy.univ-reims.fr/~
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