MLLSCP 2022
Special Session on Machine Learning in Large-Scale and Complex Problems
at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022)
Ho Chi Minh City, Vietnam
Conference website:
http://www.aciids.pwr.edu.pl
Special Session Organizers
Prof. Jan KozakDepartment of Machine Learning; Faculty of Informatics and Communication
University of Economics in Katowice, Poland
E-mail:
jan.kozak@ue.katowice.plDr. Przemysław JuszczukDepartment of Machine Learning; Faculty of Informatics and Communication
University of Economics in Katowice, Poland
E-mail:
przemyslaw.juszczuk@ue.katowice.plDr. Barbara ProbierzDepartment of Machine Learning; Faculty of Informatics and Communication
University of Economics in Katowice, Poland
E-mail:
barbara.probierz@ue.katowice.pl
Objectives and topics
The usability of machine learning-related methods among subjects like medicine, finance, artificial intelligence, text mining, image analysis is apparent. However, nowadays, we face problems in which the number of objects, attributes, and constraints is enormous. The machine learning algorithms often fail to derive satisfactory solutions. Thus there is a need for further improvements. Introducing new concepts, like Big data or stream data, and the Internet of Things forces users to extend existing solutions further.
The MLLSCP 202021 Special Session at the 14th Asian Conference on Intelligent Information and Database Systems is devoted to various methods related to the field of machine learning methods. We are particularly interested in papers extending existing algorithms and presenting these methods to real-world problems. In addition, various hybrid approaches focused on classification and regression are also welcomed. The scope of the session includes, but is not limited to the following subjects:
- Swarm and Evolutionary algorithms and their applications;
- Multicriteria optimization for large scale problems;
- Decision Support systems;
- Data classification and data clustering;
- Decision trees and ensemble methods;
- Stream data analysis;
- Big Data representation;
- Association rule mining;
- Pattern recognition;
- Artificial neural networks and deep learning;
- Contributions from similar subjects e.g. Computational Learning Models, Evolutionary Techniques, Multi-Agent Systems.
Important dates
Submission of papers: 22 May 2022 (Hard deadline)
Notification of acceptance: 4 July 2022
Camera-ready papers: 18 July 2022
Registration & payment: 18 July 2022
Conference date: 28-30 November 2022
Program Committee
- Czernek-Marszałek Katarzyna, University of Economics in Katowice, Poland
- Dziczkowski Grzegorz, University of Economics in Katowice, Poland
- Głowania Szymon, University of Economics in Katowice, Poland
- Grzegorzek Marcin, University of Siegen, Germany.
- Hrabia Anita, University of Economics in Katowice, Poland
- Kaliszewski Ignacy, Systems Research Institute, Polish Academy of Sciences, Poland
- Kania Krzysztof, University of Economics in Katowice, Poland
- Karelkina Olga, Systems Research Institute, Polish Academy of Sciences, Poland
- Kozak Jan, University of Economics in Katowice, Poland
- Jach Tomasz, University of Economics in Katowice, Poland
- Juszczuk Przemysław, University of Economics in Katowice, Poland
- Machnik Grzegorz, University of Silesia, Poland
- Miroforidis Janusz, Systems Research Institute, Polish Academy of Sciences, Poland
- Mitręga Maciej, University of Economics in Katowice, Poland
- Nowak-Brzezińska Agnieszka, University of Silesia, Poland
- Podkopaev Dmitry, Systems Research Institute, Polish Academy of Sciences, Poland
- Przybyła-Kasperek Małgorzata, University of Economics in Katowice, Poland
- Skinderowicz Rafał, University of Silesia, Poland
- Staś Tomasz, University of Economics in Katowice, Poland
- Stefański Piotr, University of Economics in Katowice, Poland
- Tkacz Magdalena, University of Silesia, Poland
- Zacny Bogna, University of Economics in Katowice, Poland
Submission
All contributions should be original and not published elsewhere or intended to be published during the review period. Authors
are invited to submit their papers electronically in pdf format, through EasyChair. All the special sessions and satellite workshops are centralized as
tracks in the same conference management system as the regular papers. Therefore, to submit a paper please activate the
following link and select the track:
MLLSCP 2022: Special Session on Machine Learning in Large-Scale and Complex Problems.
https://easychair.org/conferences/?conf=aciids2022
Authors are invited to submit original previously unpublished research papers written in English, of up to 13 pages, strictly
following the LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or Word templates available at
Springer's web site. Submissions not following the format guidelines will be rejected without review. To ensure high quality, all
papers will be thoroughly reviewed by the
MLLSCP 2022 Program Committee. All accepted papers must be presented by one
of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer
in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of Science, EI, ACM Digital Library, dblp,
Google Scholar, Scopus, etc.).