2017 IEEE International Conference on Fuzzy Systems (http://www.fuzzieee2017.org) Special Session on
“Fuzzy Models for Big Data” (http://www.fuzzieee2017.org/specialSessions.php#collapse11)
Description of the session topic Big Data has emerged as a hot topic in the recent years. It refers to those advantages, and also challenges, derived from collecting and processing vast amounts of data. The benefits from the management of this type of problems are clear: the larger the data, the higher the degree of knowledge that can be extracted from it. In addition to the former, the speed rate of incoming information is becoming higher and higher. Finally, the different sources that carry out the data recording also implies a heterogeneous structure. We must emphasize the necessity of working in the scenario of Big Data. Clearly, having a larger amount of data can allow researchers and corporations to extract better and more useful knowledge from the applications they are working with. By achieving higher quality results from data, implies a stronger support for taking future decisions on this context. The Big Data problem is a recent field of study, and therefore there are just few works that address this topic from the perspective of fuzzy modeling. Their ability to provide a better representation of the problem space by means of fuzzy labels and/or fuzzy sets makes them a very interesting approach when both the volume and variety of the dataset increases. Additionally, experts can benefit from the interpretability associated to linguistic labels. New research in the Big Data scenario for fuzzy modeling must be focused on re-designing the state of- the-art algorithms, as well as novel approaches for recent work scenarios.
Scope and Topics
Potential topics of interest include, but are not limited to: - Fuzzy rule-based knowledge representation in Big Data processing - Fuzzy models for large dimension problems - Fuzzy clustering, adaptive fuzzy systems, evolving fuzzy systems for Big Data - Tools and techniques for Big Data analytics in uncertain environments - Studies on scalability for fuzzy models - Distributed and parallel architectures for Fuzzy Modeling - Real world Big Data cases using fuzzy based approaches
Important Dates (Deadlines) - Deadline for Paper submission: January 25th, 2017 - Notification of acceptance/rejection: March 10th, 2017 - Final paper submission deadline: April 8th, 2017 - Early Registration deadline: April 10th, 2017 - Conference dates: July 9-12, 2017
Notes If you are interested in taking part on this special session, please submit your paper directly through the FUZZ-IEEE web site selecting the option "Main research topic": Special Session on Fuzzy Big Data.
Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. As a result, all accepted papers will be included in the proceedings of the FUZZ-IEEE 2017.
Organizers Francisco Herrera (
[email protected]) Dept. Computer Science and Artificial Intelligence University of Granada; Granada, E-18071, Spain Website: http://decsai.ugr.es/~herrera
The aim of this session is to provide a forum to provide innovative approaches to handle various fuzzy issues in Big Data presentation, processing and analyzing by applying fuzzy sets, fuzzy logic and fuzzy systems. We want to offer an opportunity for researchers and practitioners to identify new Alberto Fernández (
[email protected]) promising research directions in this area. Dept. Computer Science and Artificial Intelligence University of Granada; Granada, E-18071, Spain
