2011-09-01: The proceedings are now online.
2011-08-23: The program is now online.
2011-07-29: The list of accepted papers is now online.
2011-06-05: Please submit you abstract now to indicate your interest in the workshop.
2011-06-05: Submission deadline extended. New deadline: Friday, June 17th, 2011.
2011-04-11: The web page for the workshop is now online.
- Abstract Submission: please submit now
- Paper Submission (ext): Friday, June 17th, 2011
- Acceptance Notification: Wednesday, July 11th, 2011
- Paper Final Version Due: Thursday, July 31st, 2011
- Workshop: Monday, Sep 5th, 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. Similarly, 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.
Topics of Interest
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 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
- 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
- Discovering misuse and fraud
- Usage and presentation interfaces for mining and data collection
- 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 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
List of accepted papers:
- Annalisa Appice, Michelangelo Ceci, Donato Malerba and Antonietta Lanza:
Dealing with Collinearity in Learning Regression Models from Geographically Distributed Data
- Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff and Gerd Stumme:
Face-to-Face Contacts during a Conference - Communities, Roles, and Key Players
- Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba and Angelo Muolo:
Spatio-Temporal Reconstruction of Un-Sampled Data in a Sensor Network
- Magnus Knuth, Nadine Ludwig, Lina Wolf and Harald Sack:
The Generation of User Interest Profiles from Semantic Quiz Games
- Ursula Redmond, Martin Harrigan and Pádraig Cunningham:
Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data
- Zaigham Faraz Siddiqui, Myra Spiliopoulou, Panagiotis Symeonidis and Eleftherios Tiakas:
A Data Generator for Multi-Stream Data
ProceedingsDownload the MUSE proceedings here.
- 9:00-10:30: Session 1
- 9:00 - 9:20: Introduction
- 9:20 - 9:50: Annalisa Appice, Michelangelo Ceci, Donato Malerba and Antonietta Lanza: Dealing with Collinearity in Learning Regression Models from Geographically Distributed Data
- 9:50-10:10: Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba and Angelo Muolo: Spatio-Temporal Reconstruction of Un-Sampled Data in a Sensor Network
- 10:10-10:30: Zaigham Faraz Siddiqui, Myra Spiliopoulou, Panagiotis Symeonidis and Eleftherios Tiakas: A Data Generator for Multi-Stream Data
- 10:30 - 11:00: Coffee break
- 11:00 - 12:20: Session 2
- 11:00 - 11:30: Magnus Knuth, Nadine Ludwig, Lina Wolf and Harald Sack: The Generation of User Interest Profiles from Semantic Quiz Games
- 11:30 - 12:00: Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff and Gerd Stumme: Face-to-Face Contacts during a Conference - Communities, Roles, and Key Players
- 12:00 - 12:20: Ursula Redmond, Martin Harrigan and Pádraig Cunningham: Identifying Dense Structures to Guide the Detection of Misuse and Fraud in Network Data
- 12:30 - 14:00: Lunch
- 14:00 - 15:30: Session 3
- 14:00 - 15:00: Invited Talk, Kristian Kersting: Perception and Prediction Beyond the Here and Now
- 15:00 - 15:30 Discussion + Closing
- 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
Submission and Proceedings
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.
If you have any question please contact the .
We recommend to follow the format guidelines of ECML/PKDD (Springer LNCS), as this will be the required format for accepted papers (cf. instructions).