DaMNet 2011

The IEEE ICDM 2011 Workshop on Data Mining in Networks
December 11, 2011, Vancouver, Canada

A Workshop of the IEEE International Conference on Data Mining (ICDM 2011)

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 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 communication networks, such as peer-to-peer systems, mobile ad-hoc networks, wireless sensor networks, the World Wide Web, and other complex networks, such as social networks, metabolic networks, protein-protein interaction networks, citation networks, etc. The workshop is aimed at researchers in Computer Science and Communications as well as scientists from other disciplines like Mathematics, Biology, Neuroscience, etc., with 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 2011).

Important Dates

Workshop papers submission: August 12, 2011
Notifications of paper acceptance: September 20, 2011
Camera-ready papers: October 14, 2011
Workshop date: December 11, 2011

Workshop Chairs

Dr. Giuseppe Di Fatta
School of Systems Engineering
The University of Reading, UK
Email: G.DiFatta@reading.ac.uk
Prof. Antonio Liotta
Department of Electrical Engineering
Technical University Eindhoven, NL
E-mail: a.liotta@tue.nl

Workshop Proceedings and Journal Special Issue

Accepted papers will be included in the IEEE ICDM 2011 Workshops Proceedings volume published by IEEE Computer Society Press (also included in the IEEE Xplore Digital Library).
Selected papers will be considered for publication (in extended form) in the Springer JNSM 2013 Special Issue on Data Mining for Monitoring and Managing Systems and Networks.

Contact: G.DiFatta@reading.ac.uk