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DaMNet 2013 : The 3rd IEEE ICDM 2013 Workshop on Data Mining in Networks


When Dec 7, 2013 - Dec 7, 2013
Where Dallas, Texas
Submission Deadline Aug 17, 2013
Notification Due Sep 24, 2013
Final Version Due Oct 8, 2013
Categories    computer science   data mining   networks

Call For Papers

Call For Papers
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DaMNet 2013 - The 3rd IEEE ICDM 2013 Workshop on Data Mining in Networks
December 7, 2013, Dallas, Texas

A Workshop of the IEEE International Conference on Data Mining (ICDM)
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Important Dates
Workshop papers submission: August 17, 2013 (extended, new firm deadline)
Notifications of paper acceptance: September 24, 2013
Camera-ready papers: October 8, 2013
Workshop date: December 7, 2013

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 communication networks and other complex networks, such as peer-to-peer systems, mobile ad-hoc networks, wireless sensor networks, the World Wide Web, social networks, metabolic networks, protein-protein interaction networks, citation networks, etc.
The workshop is aimed at researchers mainly in Computer Science and Communications, interested in the analysis and control of complex networks by means of Data Mining approaches. Nevertheless, the workshop intends also to attract 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 ICDM 2013, the IEEE International Conference on Data Mining.

Topics of Interest
Contributions are sought in all Data Mining algorithms and applications in Networks, including computer networks and any other complex interconnected system. We also welcome submissions on reports on applications of particular interest.

Data Mining algorithms and frameworks:
- Graph Mining
- Online Learning on Data Streams
- Data Mining algorithms for Massive Interconnected Systems
- Distributed Data Mining Algorithms
- Data Mining algorithms based on Gossip and Epidemic protocols
- Communication Network and Service Management
- Spontaneous and Opportunistic Communications
- System Management
- Analysis, Modeling and Visualization of Complex and Evolving Networks
- Monitoring, Analysis, Management and Control of Distributed Systems,
Federated Databases and Large-Scale Networked Applications

Application domains:
- Computer Networks
- Large-scale Computing Systems (Grid, Cloud, P2P, Volunteer Computing)
- World Wide Web
- Social Networks
- Citation Networks and Bibliometrics
- Scale-free and Small-World Networks
- Graph Theory
- Internet of Things
- Bioinformatics and System Biology
- Neuroscience

Workshop Chairs
Dr. Giuseppe Di Fatta
School of Systems Engineering
The University of Reading, UK

Prof. Antonio Liotta
Department of Electrical Engineering
Technical University Eindhoven, The Netherlands

Papers submitted to this workshop must not have been accepted for publication elsewhere or be under review for another workshop, conference or journal. Papers must be formatted to IEEE Computer Society proceedings manuscript style. For detailed formatting and submission guidelines please visit the ICDM website (

Workshop Proceedings
Accepted papers will be included in the IEEE ICDM 2013 Workshops Proceedings volume published by IEEE Computer Society Press (also included in the IEEE Xplore Digital Library).

Technical Program Committee
• Florence Agboma, British Sky Broadcasting, UK
• Ankit Agrawal, Northwestern University, USA
• Marco Aiello, University of Groningen, The Netherlands
• Judy Bayer, Teradata, UK
• Paolo Bellavista, University of Bologna, Italy
• Saleem Bhatti, St Andrews University, UK
• Christian Borgelt, European Center for Soft Computing, Spain
• Raouf Boutaba, University of Waterloo, Canada
• Maria Carla Calzarossa, Università di Pavia, Italy
• Mario Cannataro, University "Magna Græcia" of Catanzaro, Italy
• Gino Carrozzo, Nextworks, Italy
• Clarissa Cassales Marquezan, University of Duisburg-Essen, Germany
• Carlos Frederico Cavalcanti, Federal University of Ouro Preto, Brasil
• Marinos Charalambides, University College London, UK
• Alfredo Cuzzocrea, ICAR-CNR, Italy
• Tasos Dagiuklas, Technological Education Institute of Messolonghi, Greece
• Bart De Vleeschauwer, Alcatel-Lucent, Belgium
• Panagiotis Demestichas, University of Piraeus, Greece
• Alessandro Di Bucchianico, Eindhoven University of Technology, The Netherlands
• Rodrigo Fonseca, Brown University, USA
• Giancarlo Fortino, University of Calabria, Italy
• Vasilis Friderikos, King's College London, UK
• Paolo Giaccone, Politecnico di Torino, Italy
• Antonis Hadjiantonis, University of Cyprus, Cyprus
• George Karypis, University of Minnesota, USA
• Steven Latré, Ghent University, Belgium
• Noura Limam, University of Waterloo, Canada
• Deep Medhi, University of Missouri-Kansas City, USA
• Maria Luisa Merani, Universita di Modena, Italy
• Detlef Nauck, BT Research, UK
• Andreas Nürnberger, Otto-von-Guericke-University Magdeburg, Germany
• Mehmet Cudi Okur, Yasar University, Turkey
• Eric Pardede, La Trobe University, Australia
• Nadia N. Qadri, COMSATS Institute of Information Technology, Pakistan
• Daniel Ranc, INT, France
• Lida Sadeghioon, Telecom-Bretagne, France
• Frederic Stahl, University of Reading, UK
• Aly Syed, NXP, The Netherlands
• Domenico Talia, University of Calabria, Italy
• Enrico Vicario, University of Florence, Italy
• Ran Wolff, Haifa University, Israel
• Osmar Zaiane, University of Alberta, Canada
• Lisandro Zambenedetti Granville, Federal University of Rio Grande do Sul, Brazil
• Thomas Zinner, University of Würzburg, Germany

For more information visit or contact (

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