posted by system || 2219 views || tracked by 12 users: [display]

HaCDAIS 2011 : The 2nd International Workshop on Handling Concept Drift in Adaptive Information Systems organized at IEEE ICDM 2011


When Dec 10, 2011 - Dec 10, 2011
Where Vancouver, Canada
Submission Deadline Aug 5, 2011
Notification Due Sep 20, 2011
Final Version Due Oct 11, 2011
Categories    data mining

Call For Papers

Call for Papers:
HaCDAIS 2011: The 2nd International Workshop on
Handling Concept Drift in Adaptive Information Systems
organized at IEEE ICDM 2011
December 10, 2011 - Vancouver, Canada.
The objective of the workshop is to provide a forum for
discussion of recent advances in handling concept drift in
adaptive information systems, and to offer an opportunity for
researchers and practitioners to identify and discuss recent
advances and new promising research directions.

In the real world data is often non stationary. In predictive
analytics, machine learning and data mining the phenomenon of
unexpected change in underlying data over time is known as
concept drift. Thus the learning models need to be adaptive to
the changes.

The problem of concept drift is of increasing importance to
machine learning and data mining as more and more data is
organized in the form of data streams rather than static
databases. Different approaches for detecting and handling
concept drift have been proposed, and many of them have already
proved their potential in a wide range of application domains,
e.g. fraud detection, adaptive system control, user modeling,
information retrieval, text mining, biomedicine.

In this workshop, we aim to attract researchers with an interest
in handling concept drift and recurring contexts in adaptive
information systems. Although we have emphasized the application
aspects of handling concept drift the workshop is open to any
original work in this area.

A non-exhaustive list of topics includes:
- Classification and clustering on data streams and evolving data
- Change and novelty detection in online, semi-online and offline settings
- Adaptive ensembles
- Adaptive sampling and instance selection
- Incremental learning and model adaptivity
- Delayed labeling in data streams
- Dynamic feature selection
- Handling local and complex concept drift
- Qualitative and quantitative evaluation of concept drift
handling performance
- Reoccurring contexts and context-aware approaches
- Application-specific and domain driven approaches within the
areas of information retrieval, recommender systems, pattern
recognition, user modeling, decision support and adaptive
(information) systems
- Case studies and application examples dealing with drifting data

We encourage prospective contributors to submit full (8 pages)
or short (5 pages) papers.

Paper submissions should strictly follow the IEEE 2-column
format, which is the same as the camera-ready format (see the
IEEE Computer Society Press Proceedings Author Guidelines).
We recommend submissions of 8 pages for full papers and 5 pages
for short papers. Submissions up to 10 pages are allowed.

All papers should be submitted through the
ICDM Workshop Submission Site. At the time of submission, the
papers must not be under review or accepted for publication
elsewhere. Submission implies the willingness of at least one
of the authors to register and present the paper.

All papers will be reviewed by the Program Committee based on
technical quality, relevance, originality, significance, and
clarity. All accepted workshop papers will be published in ICDM
workshop proceedings published by the IEEE Computer Society

Submissions due: July 23, 2011
Author Notification: September 20, 2011
Final Papers due: October 11, 2011
Workshop: December 10, 2011

Latifur Khan University of Texas, Dallas, USA
Mykola Pechenizkiy Eindhoven University of Technology, The Netherlands
Indre Zliobaite Bournemouth University, UK

Charu Agrawal IBM T.J.Watson Research, USA
Albert Bifet University of Waikato, New Zealand
Sarah Jane Delany Digital Media Centre, Ireland
Anton Dries Universitat Pompeu Fabra, Spain
Wei Fan IBM T.J.Watson Research, USA
Bogdan Gabrys Bournemouth University, UK
Joao Gama University of Porto, Portugal
Jing Gao University of Illinois, Urbana-Champaign, USA
Geoff Holmes University of Waikato, New Zealand
Ioannis Katakis Aristotle University of Thessaloniki, Greece
Ludmila Kuncheva Bangor University, UK
Matthijs van Leeuwen Universiteit Utrecht, the Netherlands
Mohammad Masud University of Texas, Dallas, USA
Ernestina Menasalvas Universidad Politecnica de Madrid, Spain
Leandro Minku The University of Birmingham, UK
Bernhard Pfahringer University of Waikato, New Zealand
Robi Polikar Rowan University, USA
Myra Spiliopoulou Otto-von-Guericke-University Magdeburg, Germany
Grigorios Tsoumakas Aristotle University, Thessaloniki, Greece
Alexey Tsymbal Siemens AG, Germany

For further questions, please contact organizers at

Related Resources

ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
ICDM 2018   IEEE International Conference on Data Mining
Drift-a-LOD - 2018   Third workshop on Detection, Representation and Management of Concept Drift in Linked Open Data
ECML-PKDD 2018   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
MSTED 2018   Mining Streaming and Time-Evolving Data (ECDA spec. session)
ACII 2018   Advanced Computational Intelligence: An International Journal
DISC 2018   Special Issue on Data Intelligence in Sustainable Computing, Journal of Sustainable Computing: Informatics and Systems
IJIST 2018   The International Journal of Information Science & techniques
CoopIS 2018   Cooperative Information Systems
AEPIS 2018   Agriculture and Environment Perspectives in Intelligent Systems