COPKIT invites you to submit your paper for the “Fuzzy Methods In Data Mining And Knowledge Discovery” special session of the 18th International conference on Information Processing and Management of Uncertainty in knowledge-based systems (IPMU 2020) that will take place in Lisbon (Portugal) on 15-19th June 2020.
Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors:
(a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making in the current ultra-competitive markets;
(b) the large volume of data managed by organizations makes it impossible to carry out an analysis process manually.
Nowadays, the volume of information digitally stored has considerably increased not only in database format but also in text format which is available in open source bases such as the Web, including log files registering the use of the information or social media content. This has contributed to increase the interest on Text and Web Mining techniques. In one hand, these techniques aim to automatize the analysis process by introducing a variety of intelligent techniques to learn, optimize and represent uncertain and imprecise knowledge. On the other hand, these tools offer the possibility to analyse massive data offering more efficient algorithms and a suitable selection of obtained results in terms of their novelty, usefulness and interpretability.
Call for papers
The objective of the special session is to provide a forum for the discussion of recent advances in the application of Data Mining and Knowledge Discovery technologies to diverse problems, focusing on those involving fuzzy methods, and to offer an opportunity for researchers to identify new and promising research directions.
Topics of interest include, but are not limited to, the following:
- Data, text and web mining
- Stream data mining
- Temporal data series
- Big data mining
- Imprecision, uncertainty and vagueness in data mining
- Data pre- and post- processing in data mining
- Parallel and distributed data mining algorithms
- Information summarization and visualization
- Human-machine interaction for data access
- Semantic models to represent input data and extracted knowledge in a Data Mining process
- Applications of Data Mining techniques: health, tourism, biological process, customer profiles, anomaly detection, emergency management, situation recognition, etc.
Submitting your paper
Important dates:
- Paper submission deadline: January 31st, 2020
- Notification of acceptance: March 8th, 2020
- Camera-ready paper submission: March 31st, 2020
- Early/author registration, March 31st, 2020
- Conference: June 15-19th, 2020
For more information on the format of your contribution and on submitting your paper, please visit https://ipmu2020.inesc-id.pt/ or feel free to contact our team:
- Dolores Ruiz (mariloruiz@ugr.es), Statistics and Operative Research, University of Granada (Spain)
- Karel Gutiérrez Batista (karel@decsai.ugr.es), Computer Science and A.I. Department, University of Granada (Spain)
- Carlos J. Fernández-Basso (cjferba@decsai.ugr.es), Computer Science and A.I. Department, University of Granada (Spain)
For more information on COPKIT visit the project website and follow us on Twitter, LinkedIn and Facebook or contact us at copkit@copkit.eu.
