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IFSA-EUSFLAT 2015 : SS on Data Mining and Knowledge Discovery (30 June-3 July, Gijón, Spain)

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Link: http://www.softcomputing.es/ifsa-eusflat2015/
 
When Jun 30, 2015 - Jul 3, 2015
Where Gijón (Spain)
Submission Deadline Feb 1, 2015
Notification Due Mar 22, 2015
Final Version Due Apr 16, 2015
Categories    data mining   knowledge discovery   machine learning   big data analysis
 

Call For Papers

Call for papers:

Special Session on Data Mining and Knowledge Discovery (at IFSA-EUSFLAT 2015, Gijón, Spain)

The 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT) are the major venue for researchers (both theoreticians and practitioners) working on fuzzy logic, fuzzy systems, soft computing and related areas. IFSA-EUSFLAT 2015 (http://www.softcomputing.es/ifsa-eusflat2015/) will take place in Gijón (Spain) from June 30th to July 3rd.

The EUSFLAT working group on Learning and Data Mining (DAMI) presents a special session as part of the IFSA-EUSFLAT conference. 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 methods and technologies to diverse problems, focusing on those involving fuzzy logic and technology, and to offer an opportunity for researchers to identify new and promising research directions. The selected authors will present their contribution during the session, and their paper will be included in the conference proceedings published by Atlantis Press. They will be available online in Open Access mode before the start of the conference. Moreover, conference papers will be indexed in DBLP, EI-Compendex and ISIProceedings.

Please find attached the complete call for papers. If you are interested in submitting a contribution, please e-mail us the title of the paper, and the names of the authors by January 16, 2015. Feel free to send questions or comments to the members of the committee.


Organizing committee:

M. Dolores Ruiz (mdruiz@decsai.ugr.es), University of Granada
Maria J. Martin-Bautista (mbautis@decsai.ugr.es), University of Granada
Daniel Sánchez (daniel@decsai.ugr.es), University of Granada

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Special Session on Data Mining and Knowledge Discovery (at IFSA-EUSFLAT 2015)

Keywords

Data mining, knowledge discovery, machine learning, big data analysis


Abstract

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. 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 analyze massive data offering more efficient algorithms and a suitable selection of obtained results in terms of their novelty, usefulness and interpretability.


Topics

Topics of interest include, but are not limited to, the following topics:
• 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
• Parallel and distributed data mining algorithms
• Information summarization and visualization
• Ontologies for data description and data summarization
• Human-machine interaction for data access
• Linguistic description of information
• Semantic models to represent input data and extracted knowledge
• Applications: health, tourism, biological process, customer profiles, anomaly detection, emergency management, situation recognition, etc.


Important date
• Submission deadline: January 16th, 2015
• Notification of acceptance: March 16th, 2015
• Camera-ready version: April 16th, 2015
• Conference: June 30th - July 3rd, 2015


Format

Submission format is available on the conference web page: www.softcomputing.es/ifsa-eusflat2015/

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