posted by user: aho || 3543 views || tracked by 7 users: [display]

MUSE 2011 : CfP: Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)


When Sep 5, 2011 - Sep 5, 2011
Where Athens, Greece
Abstract Registration Due Jun 3, 2011
Submission Deadline Jun 17, 2011
Notification Due Jul 11, 2011
Final Version Due Jul 31, 2011
Categories    data mining   ubiquitous mining   social web   sensor

Call For Papers


for the 2nd International ECML/PKDD 2011 Workshop

(MUSE 2011)
5 September 2011, Athens, Greece
*** Abstract submission now please ***
*** Paper submission deadline (extended) : June 17, 2011 ***

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.

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.

The topics of the workshop are split roughly into three areas
which include, but are not limited to the following topics:

Sensors and Mobile Devices:
* Resource-aware algorithms for distributed mining
* Scalable and distributed classification, prediction, and clustering
* Activity recognition
* Utilizing semantic technology for sensing information
* 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

Social Systems and User Behavior:
* Personalization and recommendation
* User models and predicting user behavior
* User profiling in ubiquitous and social environments
* Mining continuous streams and ubiquitous data
* Network analysis of social systems
* Discovering social structures and communities
* Semantic web technology in social systems

* Discovering misuse and fraud
* Usage and presentation interfaces for mining and data collection
* Privacy challenges in ubiquitous and social applications
* Semantic web enhanced mining 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.

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

* Martin Atzmueller, Knowledge and Data Engineering Group,
University of Kassel, Germany (
* Andreas Hotho, Data Mining and Information Retrieval Group,
University of Wuerzburg, Germany (

* Harith Alani, KMi, Open University, United Kingdom
* Ulf Brefeld, Yahoo Research, Spain
* Ciro Cattuto, ISI Foundation, Italy
* Michelangelo Ceci, University of Bari, Italy
* Marco Degemmis, University of Bari, Italy
* Fabien Gandon, INRIA, France
* Claudia Müller-Birn, Carnegie Mellon University, USA
* Ion Muslea, SRI International, Menlo Park, USA
* Alexandre Passant, DERI, Ireland
* Giovanni Semeraro, University of Bari, Italy
* Sergej Sizov, University of Koblenz-Landau, Germany
* Steffen Staab, University of Koblenz-Landau, Germany
* Myra Spiliopoulou, University of Magdeburg, Germany
* Gerd Stumme, University of Kassel, Germany
* Maarten van Someren, University of Amsterdam, The Netherlands


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 that
will go online at the beginning of June 2011. 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:

Related Resources

MLDM 2023   18th International Conference on Machine Learning and Data Mining
SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
SoCom4Good 2022   Research Topic (a.k.a. Special Issue) “Social Computing for Good”, Frontiers in Big Data
CoMSE 2023   2023 International Conference on Materials Science and Engineering (CoMSE 2023)
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
MLDM 2023   19th International Conference on Machine Learning and Data Mining
ADMA 2022   18th International Conference on Advanced Data Mining and Applications
ICWSM 2023   International Conference on Web and Social Media (3rd deadline)
ABDAI 2022   2022 4th International Conference on Applications of Big Data and Artificial Intelligence(ABDAI 2022)
DMKD 2023   2023 6th International Conference on Data Mining and Knowledge Discovery(DMKD 2023)