posted by user: jur7poz || 4119 views || tracked by 16 users: [display]

MCSD 2012 : Mining Complex and Stream Data, MCSD 12


When Sep 17, 2012 - Sep 17, 2012
Where Poznan, Poland
Submission Deadline May 6, 2012
Notification Due May 28, 2012
Final Version Due Jun 11, 2012
Categories    data mining   machine learning   databases

Call For Papers

Call for Papers: MCSD 12, ADBIS 2012 Workshop on
Mining Complex and Stream Data

in conjunction with the 16th Advances in Databases and
Information Systems Conference (ADBIS 2012)

September 17, 2012 - Poznan, Poland.

The paper submission deadline April 28, 2012

During the last two decades data mining has shown tremendous development and has become a distinct and mature discipline. Numerous methods have been proposed to discover different representations of knowledge from data and the number of their applications in various fields is continuously growing. Nevertheless, many of current approaches are focused on using a single learning algorithm on a static data layout.

In many domains such a simplistic strategy appears to be too restrictive. Modern automatic systems are able to collect huge volumes of data, often with a complex structure. This fact poses new challenges for current information systems with respect to storing, managing or processing data. It also highlights the need for new scalable algorithmic solutions allowing for data summarizing, sampling and approximating.

This need is particularly visible in the emerging domain of stream data mining, where large volumes of data records are generated continuously. The amounts of data arriving at a high rate, often with dynamically changing characteristics, require real-time or near-real-time analysis and introduce constraints to the available amount of operating memory. This makes particularly interesting the algorithms, which are not only scalable but also can adapt to the concept drifts.

Such issues are considered by experts coming from different fields such as SQL and non-SQL databases, data mining, machine learning, statistics and engineering. We believe it is time to enhance communication between these communities. The aim of this workshop is to gather researchers interested in discussing and introducing new algorithmic foundations and application aspects of mining real world difficult data.


We invite all researchers and practitioners who are developing algorithms, systems, and applications, to share their results, ideas, and experiences. Besides the main topic covering complex data streams, related aspects of efficient processing of massive data and knowledge discovery from large databases are also welcomed.

Suggested topics include (but are not limited to) the following:

Integration of different, heterogeneous or distributed data sources
Pre-processing, structuring and organizing complex data
Handling complex values and complex patterns in data
Mining text, web, multimedia, semi-structured, and graph data
Scalability in processing large data volumes
Sampling techniques for massive data
Approximate processing
Near-real-time analytics
Handling machine-generated data
Integrating parallel data streams
Classification, clustering and frequent patterns from data streams
Detecting and adapting to changes and concept drift in evolving data
Incremental online learning algorithms
Knowledge discovery from ubiquitous environments
Privacy preserving in knowledge discovery from data
Applications, especially in scientific data, medicine, text processing, web mining, image or multimedia analysis, sensor networks, bio-informatics

All accepted workshop papers will be published by Springer in the Advances in Intelligent Systems and Computing (AISC) series (

Workshop papers must not exceed 10 pages in the AISC format and must comply with the AISC formatting guidelines available at (the link to "Instructions for Authors" is on the right hand side). Please use LaTeX only.

Papers in PDF should be submitted to

Accepted camera-ready papers are to be prepared using LaTeX only!

Papers will be refereed on the basis of their scientific merit and relevance to the workshop. Each paper will be reviewed by at least two Program Committee members. Duplicate submissions are not allowed!

Submission implies the willingness of at least one of the authors to register and present the paper during the workshop.

Conference and workshop fees are announced at:

It is also possible to participate in the workshop day only.

Extended versions of the best workshop papers (at least 3 top papers from each ADBIS workshop) will be invited after the conference to the international journal Control and Cybernetics.


Submissions due: April 28, 2012
Author Notification: May 26, 2012
Final Papers due: June 10, 2012
Workshop: September 17, 2012


Jerzy Stefanowski Poznan University of Technology, Poland
Dominik Slezak The University of Warsaw & Infobright Inc., Poland


Jan Bazan (University of Rzeszo—w, Poland)
Petr Berka (University of Economics, Prague, Czech Republic)
Albert Bifet (University of Waikato, New Zealand)
Michelangelo Ceci (University of Bari, Italy)
Alfredo Cuzzocrea (ICAR-CNR & University of Calabria, Italy)
Simon Fischer (Rapid-I GmbH, Dortmund, Germany)
Mohamed Gaber (University of Portsmouth, UK)
Jerzy Grzymala-Busse (University of Kansas, USA)
Rudolf Kruse (Otto-von-Guericke University, Magdeburg, Germany)
Marzena Kryszkiewicz (Warsaw University of Technology, Poland)
Stan Matwin (University of Ottawa, Canada)
Ernestina Menasalvas (Technical University of Madrid, Spain)
Mikolaj Morzy (Poznan University of Technology, Poland)
Hung Son Nguyen (The University of Warsaw, Poland)
Zbigniew Ras (University of North Carolina, Charlotte, USA)
Alexey Tsymbal (Siemens AG, Erlangen, Germany)
Michal Wozniak (Wroclaw University of Technology, Poland)
Indre Zliobaite (Bournemouth University, UK)

For further questions, please contact organizers at

Related Resources

ICDM 2021   21st IEEE International Conference on Data Mining
KDD 2021   27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
IARCE 2021-Ei Compendex & Scopus 2021   2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021)
MDPI-SI-BDHA 2021   Call for Papers: Special Issue “Big Data for eHealth Applications” (MDPI Applied Sciences, IF 2.474 – Indexed on Scopus, Web of Science)
ICML 2021   International Conference on Machine Learning
ICSRS--Scopus & EI Compendex 2021   2021 5th International Conference on System Reliability and Safety (ICSRS 2021)--Scopus & EI Compendex
DMSE 2021   2nd International Conference on Data Mining and Software Engineering
AS-RLPMTM 2021   Applied Sciences special issue Rich Linguistic Processing for Multilingual Text Mining
CFDSP 2021   2021 International Conference on Frontiers of Digital Signal Processing (CFDSP 2021)