DaMNet 2016

The Sixth IEEE ICDM Workshop on Data Mining in Networks
December 12, 2016, Barcelona, Spain

A Workshop of the IEEE International Conference on Data Mining (ICDM 2016)


Workshop Overview

The complexity of numerous social, biological, and communication systems, is driving many researchers towards the adoption of data mining approaches. The characterization, management and control of complex networks are challenging tasks, common to many areas of Science. The Workshop on Data Mining in Networks intends to facilitate the exchange of ideas between different research communities which share a common interest in extracting models and information from complex networks. The workshop focus will encompass data mining algorithms and applications for complex networks, such as communication networks, social networks, biological networks, citation networks, etc. The workshop is aimed at researchers in Computer Science and other disciplines like Mathematics, Biology, Neuroscience, etc., who share an interest in the analysis and control of complex networks by means of Data Mining approaches.


The workshop is co-located with the IEEE International Conference on Data Mining (ICDM 2016).


Important Dates

Workshop papers submission: August 12, 2016
Notifications of paper acceptance: September 13, 2016
Camera-ready copies, copyright forms and author registration: September 20, 2016
Workshop date: December 12, 2016

Workshop Chairs

Assoc. Prof. Giuseppe Di Fatta
Department of Computer Science
University of Reading, UK
Email: G.DiFatta@reading.ac.uk
Prof. Antonio Liotta
Department of Electrical Engineering
Eindhoven University of Technology, NL
E-mail: a.liotta@tue.nl

Publicity Chairs

Mosab M. Ayiad
Department of Computer Science
University of Reading, UK
Email: m.m.ayiad@pgr.reading.ac.uk
Decebal Mocanu
Department of Electrical Engineering
Eindhoven University of Technology, NL
E-mail: d.c.mocanu@tue.nl


Workshop Proceedings

Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press (also included in the IEEE Xplore Digital Library).

Contact: G.DiFatta@reading.ac.uk