Special Issue on: "Fuzzy Based Approaches in Big Data Analytics"
Dr. V. Suma, Dayananda Sagar College of Engineering, India
Dr. Zubair Baig, Edith Cowan University, Australia
In recent trends, the processing of large volumes and the variety of data requires high-performance analytics, which has introduced a new technique called big data analytics. This technique can analyse large volumes of data and isolates the valuable information immediately from big data. This methodology is not effectively possible in traditional methods.
These types of huge data sets are formerly examined and managed using ad-hoc network based approaches. This results in a complex environment which makes the data mining itself a difficult task. To solve this issue on data mining, fuzzy sets and fuzzy logics are introduced. Hence modelling with this fuzzy logic enables simple and flexible infrastructure to solve complex issues. In this context of solving big data problems, fuzzy modelling is utilised to overcome various big data issues by classifying and clustering data, discovering various subgroups in data etc. This advanced technique leads to achieve a greater advantage in trending approaches.
This special issue welcomes original and unpublished research papers that exhibit state-of-the-art on fuzzy based modelling for big data analytics. Additionally, it can also explain about the fuzzy based algorithms which can be utilised for information extraction available from big data information.
Suitable topics include, but are not limited to, the following:
- Fuzzy approaches for big data systems
- Algorithms for fuzzy based systems
- Scalability of fuzzy algorithms
- MapReduce programming models
- Performance evaluations for fuzzy algorithms
- Big data management using ubiquitous fuzzy techniques
- Novel fuzzy approaches
- Fuzzy modelling designs in big data analytics
- Fuzzy based classification and clustering systems for big data analytics
- Fuzzy techniques for big data sets in smart networks, health informatics etc.
- Applications of fuzzy approaches to big data: business, finance, cyber security etc.
- Fuzzy based knowledge discovery in databases
- Spatial analysis of data using fuzzy methods
- Fuzzy analytics
- Fuzzy techniques for intelligent systems
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 5 April, 2017
Notification to authors: 6 June, 2017
Final versions due by: 18 December, 2017