-------- Original Message -------- Subject: [WI] 3rd CfP: Mining Ubiquitous and Social Environments (MUSE) - Abstracts due 22nd of June Date: Mon, 18 Jun 2012 06:48:40 +0200 From: Martin Atzmueller atzmueller@cs.uni-kassel.de To: wi@aifb.uni-karlsruhe.de, kdml@cs.uni-kassel.de, fg-db@informatik.uni-rostock.de, ak-kd-list@lists.uni-karlsruhe.de

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CALL FOR PAPERS for the 3rd International ECML/PKDD 2012 Workshop on

*MINING UBIQUITOUS AND SOCIAL ENVIRONMENTS* (MUSE 2012)

http://www.kde.cs.uni-kassel.de/ws/muse2012 September 24, 2012 - Bristol, UK *** Abstract submission: June 22nd, 2012 *** *** Paper submission deadline: June 29th, 2012 *** --------------------------------------------------------------------------

The emergence of ubiquitous computing has started to create new environments consisting of small, heterogeneous, and distributed devices that foster the social interaction of users in several dimensions. Additionally, the upcoming social semantic web also integrates the user interactions in social networking environments. Mining in ubiquitous and social environments is thus an emerging area of research focusing on advanced systems for data mining in such distributed and network-organized systems. It also integrates some related technologies such as activity recognition, Web 2.0 mining, privacy issues and privacy-preserving mining, predicting user behavior, etc.

In typical ubiquitous settings, the mining system can be implemented inside the small devices and sometimes on central servers, for real-time applications, similar to common mining approaches. However, the characteristics of ubiquitous and social mining are in general quite different from the current mainstream data mining and machine learning. Unlike in traditional data mining scenarios, data does not emerge from a small number of (heterogeneous) data sources, but potentially from hundreds to millions of different sources. As there is only minimal coordination, these sources can overlap or diverge in any possible way. Steps into this new and exciting application area are the analysis of this new data, the adaptation of well known data mining and machine learning algorithms and finally the development of new algorithms.

GOALS AND AUDIENCE ================== The goal of this workshop is to promote an interdisciplinary forum for researchers working in the fields of ubiquitous computing, social semantic web, Web 2.0, and social networks which are interested in utilizing data mining in an ubiquitous setting. The workshop seeks for contributions applying state-of-the-art mining algorithms on ubiquitous and social data. Papers focusing on the intersection of the two fields are especially welcome. In short, we want to accelerate the process of identifying the power of advanced data mining operating on data collected in ubiquitous and social environments, as well as the process of advancing data mining through lessons learned in analyzing these new data.

TOPICS OF INTEREST ================== The topics of the workshop are split roughly into four areas which include, but are not limited to the following topics:

Ubiquitous Mining: * Analysis of data from sensors and mobile devices * Resource-aware algorithms for distributed mining * Scalable and distributed classification, prediction, and clustering algorithms * Activity recognition * Mining continuous streams and ubiquitous data * Online methods for mining temporal, spatial and spatio-temporal data * Combining data from different sources * Sensor data preprocessing, transformation, and space-time sampling techniques Mining Social Data: * Analysis of social networks and social media * Mining techniques for social networks and social media * Algorithms for inferring semantics and meaning from social data * Privacy and security issues in social data * How social data can be used to mine and create collective intelligence * Individual and group behavior in social media and social networks * Social networks for the collaboration of large communities Ubiquitous and Social Mining * Personalization and recommendation * User models and predicting user behavior * User profiling in ubiquitous and social environments * Network analysis of social systems * Discovering social structures and communities * Analysis of data from crowd-sourcing approaches Applications: * Discovering misuse and fraud * Usage and presentation interfaces for mining and data collection * Analysis of social and ubiquitous games * Privacy challenges in ubiquitous and social applications * Applications of any of the above methods and technologies

We also encourage submissions which relate research results from other areas to the workshop topics.

SPRINGER BOOK ============= As in the previous years, it is planned to publish revised selected papers as a volume in the Springer LNCS/LNAI series

WORKSHOP ORGANIZERS ============================= * Martin Atzmueller, Knowledge and Data Engineering Group, University of Kassel, Germany (atzmueller@cs.uni-kassel.de) * Andreas Hotho, Data Mining and Information Retrieval Group, University of Wuerzburg, Germany (hotho@informatik.uni-wuerzburg.de)

PROGRAM COMMITTEE ================== * Ulf Brefeld, Yahoo Research, Spain * Ricardo Cachucho, Leiden University, The Netherlands * Michelangelo Ceci, University of Bari, Italy * Padraig Cunningham, University College Dublin, Ireland * Daniel Gayo-Avello, University of Oviedo, Spain * Ido Guy, IBM Research, USA * Kristian Kersting, University of Bonn, Germany * Matthias Klusch, DFKI GmbH, Germany * Claudia Müller-Birn, FU Berlin, Germany * Alexandre Passant, DERI, Ireland * Giovanni Semeraro, University of Bari, Italy * Maarten van Someren, University of Amsterdam, The Netherlands * Markus Strohmaier, TU Graz, Austria * Ugo Vespier, Leiden University, The Netherlands

SUBMISSIONS AND STYLE =====================

We invite two types of submissions for this workshop: * Technical papers in any of the topics of interest of the workshop (but not limited to them) * Short position papers in any of the topics of interest of the workshop (but not limited to them)

Submitted papers will be peer-reviewed and selected on the basis of these reviews. Accepted papers will be presented at the workshop.

Format requirements for submissions of papers are: Maximum 16 pages, including title page and bibliography for technical papers. Maximum 8 pages, including title page and bibliography for short position papers.

All submissions must be entered into the reviewing system:

https://www.easychair.org/conferences/?conf=muse2012

If you have any question please contact the MUSE Organizers. We recommend to follow the format guidelines of ECML/PKDD (Springer LNCS), as this will be the required format for accepted papers.

More details can be found on the workshop website: http://www.kde.cs.uni-kassel.de/ws/muse2012

Important Dates =============== * Abstract Submission: June 22nd * Paper Submission Deadline: June 29th, 2012 * Author Notification: July 20th, 2012 * Camera Ready Papers: August 3rd, 2012

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