International Workshop on Data Mining on IoT Systems, London, UK

Abbrevation

DaMIS

Link

http://damis.no-ip.info

City

London

Country

Deadline Paper

2016-05-01

Start Date

2016-09-19

End Date

2016-09-22

Abstract

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 We welcome original unpublished research papers related to topics of the workshop, which include but are not limited to the following: – IoT platforms for Data analytics on pervasive and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;