MLASA 2013 - 3rd International Workshop on Machine Learning Algorithms, Systems and Applications
Topics/Call fo Papers
3rd International Workshop on Machine Learning Algorithms, Systems and Applications
Organized as part of the IEEE 12th international Conference on Machine Learning and Application (ICMLA-2013)
Miami, Florida USA
December 4-7, 2013
For more information and paper submission visit:
http://www.icmla-conference.org/icmla12/
The computerization of many life activities and the advances in data collection and storage technology lead to obtain mountains of data. They are collected to capture information about a phenomena or a process behavior. These data are rarely of direct benefit. Thus, a set of techniques and tools are used to extract useful information for decision support, prediction, exploration and understanding of phenomena governing the data sources.
This workshop aims to bring together professionals, researchers, and practitioners to discuss efficient techniques, methods and tools able to manage, to exploit and to interpret correctly the increasing amount of data in environments that can change continuously. The goal is to build models able to tackle and to govern the high variability of complex non-stationary systems.
This workshop includes various applications such as: medicine diagnosis, robotics, business, industrial control, fault detection and diagnosis, quality control, surface inspection, system identification, transportation, communications, web applications, environmental monitoring, biomedical systems, decision support systems, security, and electronic services.
Topics covered by this workshop include but are not limited to:
? Classification,
? Clustering,
? Data mining and machine learning techniques,
? Incremental learning methods,
? Adaptive, life-long and sequential learning,
? On-line classification and regression methods,
? Evolving structural components and systems modelling
? Incremental, evolving un-supervised methods
? Incremental/on-line Dimension reduction methods
? Concepts to address drifts and shifts in data streams (weighting, gradual forgetting etc.)
? On-line/Incremental Active and Semi-supervised learning concepts
? On-line Human-machine interaction and the incorporation of background knowledge
? Adaptive data pre-processing and knowledge discovery
? Real world applications such as:
o Monitoring,
o On-line quality control systems,
o Fault detection, isolation and prognosis,
o Very huge data bases,
o Web applications,
o Decision Support Systems,
o And many more ….We encourage researchers to submit full research papers (6 pages) and short research papers (4 pages) reporting work in progress. All accepted papers from the two types of submissions will be included in the proceedings to be published by IEEE Press.
Authors should submit papers through the main conference submission website. Papers must correspond to the requirements detailed in the instructions to authors. All conference submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at:
http://www.icmla-conference.org/icmla13/
Accepted papers should be presented by one of the authors to be published in the conference proceeding. If you have any questions, do not hesitate to direct your questions to the workshop organizers.
Important Dates:
Paper Submission Deadline: August 5th, 2013
Notification of acceptance: September 10th, 2013
Camera-ready papers & Pre-registration: October 10th, 2013
The ICMLA Conference: December 4th, 2013
Workshop Chairs:
Moamar Sayed-Mouchaweh
Ecole des Mines de Douai-France
Computer science and automatic control Lab.
moamar.sayed-mouchaweh-AT-mines-douai.fr
Hamid Bouchachia
STRC Centre, DEC School, Bournemouth University, UK
abouchachia-AT-bournemouth.ac.uk
Preliminary program comittee members (to be confirmed):
Abdullah Almaksour, University of Rennes, France
Itamar Arel, University of Tennessee, USA
Patrice Billaudel, University of Reims, France
Marcin Budka, Bournemouth University, UK
Jason J. Corso, The state University of New York, USA
Damian Coyle, University of Ulster, UK
Anthony Fleury, Ecole des Mines de Douai, France
Ratko Grbić, University of Osijek, Croatia
Fernando Gomide, University of Campinas, Brazil
Laurent Hartert, University of Reims, France
Michael Herrmann, University of Edinburgh, UK
Kevin Keane, The state University of New York, USA
André Lemos, Federal University of Bahia, Brazil
Thuy Nguyen, Hanoi University of Science and Technology, Vietnam
Lisa Serir, Franche-Comté - Sciences et Technologies, France
Russel Pears, AUT University, New Zealand
Jingling Yuan, Wuhan University of Technology, China
Organized as part of the IEEE 12th international Conference on Machine Learning and Application (ICMLA-2013)
Miami, Florida USA
December 4-7, 2013
For more information and paper submission visit:
http://www.icmla-conference.org/icmla12/
The computerization of many life activities and the advances in data collection and storage technology lead to obtain mountains of data. They are collected to capture information about a phenomena or a process behavior. These data are rarely of direct benefit. Thus, a set of techniques and tools are used to extract useful information for decision support, prediction, exploration and understanding of phenomena governing the data sources.
This workshop aims to bring together professionals, researchers, and practitioners to discuss efficient techniques, methods and tools able to manage, to exploit and to interpret correctly the increasing amount of data in environments that can change continuously. The goal is to build models able to tackle and to govern the high variability of complex non-stationary systems.
This workshop includes various applications such as: medicine diagnosis, robotics, business, industrial control, fault detection and diagnosis, quality control, surface inspection, system identification, transportation, communications, web applications, environmental monitoring, biomedical systems, decision support systems, security, and electronic services.
Topics covered by this workshop include but are not limited to:
? Classification,
? Clustering,
? Data mining and machine learning techniques,
? Incremental learning methods,
? Adaptive, life-long and sequential learning,
? On-line classification and regression methods,
? Evolving structural components and systems modelling
? Incremental, evolving un-supervised methods
? Incremental/on-line Dimension reduction methods
? Concepts to address drifts and shifts in data streams (weighting, gradual forgetting etc.)
? On-line/Incremental Active and Semi-supervised learning concepts
? On-line Human-machine interaction and the incorporation of background knowledge
? Adaptive data pre-processing and knowledge discovery
? Real world applications such as:
o Monitoring,
o On-line quality control systems,
o Fault detection, isolation and prognosis,
o Very huge data bases,
o Web applications,
o Decision Support Systems,
o And many more ….We encourage researchers to submit full research papers (6 pages) and short research papers (4 pages) reporting work in progress. All accepted papers from the two types of submissions will be included in the proceedings to be published by IEEE Press.
Authors should submit papers through the main conference submission website. Papers must correspond to the requirements detailed in the instructions to authors. All conference submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at:
http://www.icmla-conference.org/icmla13/
Accepted papers should be presented by one of the authors to be published in the conference proceeding. If you have any questions, do not hesitate to direct your questions to the workshop organizers.
Important Dates:
Paper Submission Deadline: August 5th, 2013
Notification of acceptance: September 10th, 2013
Camera-ready papers & Pre-registration: October 10th, 2013
The ICMLA Conference: December 4th, 2013
Workshop Chairs:
Moamar Sayed-Mouchaweh
Ecole des Mines de Douai-France
Computer science and automatic control Lab.
moamar.sayed-mouchaweh-AT-mines-douai.fr
Hamid Bouchachia
STRC Centre, DEC School, Bournemouth University, UK
abouchachia-AT-bournemouth.ac.uk
Preliminary program comittee members (to be confirmed):
Abdullah Almaksour, University of Rennes, France
Itamar Arel, University of Tennessee, USA
Patrice Billaudel, University of Reims, France
Marcin Budka, Bournemouth University, UK
Jason J. Corso, The state University of New York, USA
Damian Coyle, University of Ulster, UK
Anthony Fleury, Ecole des Mines de Douai, France
Ratko Grbić, University of Osijek, Croatia
Fernando Gomide, University of Campinas, Brazil
Laurent Hartert, University of Reims, France
Michael Herrmann, University of Edinburgh, UK
Kevin Keane, The state University of New York, USA
André Lemos, Federal University of Bahia, Brazil
Thuy Nguyen, Hanoi University of Science and Technology, Vietnam
Lisa Serir, Franche-Comté - Sciences et Technologies, France
Russel Pears, AUT University, New Zealand
Jingling Yuan, Wuhan University of Technology, China
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Last modified: 2013-06-27 16:51:38