In conjunction with the 8th International Conference on Ambient Systems, Networks and Technologies (ANT-2017)
May 16-19, 2017, Madeira, Portugal.
The deployment of Internet of Things (IoT) represents a potentially massive volume of data to explore. However, it requires more efficient and scalable data analysis methods and raises additional challenges on data management, distribution and storage. Despite the significance of the correlation between IoT and its data management, there is generally a deficiency to understand the suitable approaches to integrate these two new emerging research areas.
The advent of IoT also opens new perspectives for the enterprises that will be able to manage and extract information from these pervasive environments in their Information Systems. The success of these new Pervasive Information Systems depends on the efficient integration of IoT and appropriate data management approaches.
This workshop aims at gathering researchers interested in the big data and data mining challenges for pervasive information 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 We welcome original unpublished research papers (as well as practical experience reports) related to topics of the workshop, which include but are not limited to the following:
All workshops accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Sciences is hosted on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index. The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. All accepted papers will also be indexed in DBLP (http://dblp.uni-trier.de/).