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CALL FOR PAPERS
International Journal of Advances in Soft Computing and its Application (IJASCA)
Special Issue on
Big Data Pattern Computing and Analysis of Machine Learning Algorithms
http://www.home.ijasca.com/special-issue/
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Machine learning (ML) algorithms are computationally expensive, especially on the typical central processing unit (CPU) environment. The growing births of new intelligent system architectures are often due to the multi strategy learning and adaptation of advanced soft computing techniques in various fields such as pattern recognition, and data mining, particularly to address the issues of Big Data. Big data computing needs advanced technologies or methods to solve the issues of computational time to extract valuable information, in a realistic and practical time frame, without compromising the models quality. Therefore, high performance hardware with the potential to yield remarkable performance gains, as compared to the CPU, is plausible to accomplish faster solutions to address Big Data.
This special issue aims to bring together research work in the area of Big Data Computing for machine learning algorithms in solving complex problems of N-dimensional.
Topics:
The paper may focus on high performance computing for machine learning algorithms and theory in big data problems. The scopes of the topics include but are not limited to:
SCOPE 1: Machine Learning Algorithms for Big Data
- Data and Information Fusion
- Meta-Heuristics Algorithms
- Natural Language Processing
- Signal Processing
- Scalable and Incremental Algorithms
- Simulation and Modeling
- Data-Intensive Computing
- Dimensional Reduction Techniques
- Multi-dimensional Big Data
SCOPE 2: Fundamental of Big Data Computing
- Novel Computational Methodologies
- Algorithms for Enhancing Data Quality
- Models and Frameworks for Big Data
- Graph Algorithms for Big Data
- Computational Science
SCOPE 3: Big Data Search and Mining Methods
- Multimedia and Big Data
- Data Mining
- Social Network Analysis
- Cleaning Big Data, Acquisition and Integration
- Visualization of Big Data Technology
- Graph Mining & Recommender Systems
- Security and Privacy in Big Data
Manuscript preparation ::
Concerning the manuscript preparation, please refer to Author guide.
Submission ::
The submission must include the title, abstract of your paper, and the corresponding author’s name and affiliation. All papers will be rigorously reviewed based on the quality: originality, high scientific quality, well organized and clearly written, sufficient support for assertions and conclusion.
Click here for submission: http://www.home.ijasca.com/submit-article/
Guest Editors
Prof. Dr. Noel Lopes
UDI – Polytechnic of Guarda
CISUC, University of Coimbra Portugal
E-mail: noel@ipg.pt
Dr. Shafaatunnur Hasan
UTM Big Data Centre, Universiti Teknologi Malaysia
81310 Skudai Johor Malaysia
E-mail: shafaatunnur@ijasca.com or shafaatunnur@utm.my
Important Dates:
1st Call Submission deadline: January 31, 2016
Extended Submission deadline: February 29, 2016
1st Round Notification:30 April 2016
Final Acceptance: July 20, 2016
IJASCA is indexed By:
Should you have any queries for further information, please do not hesitate to contact us:
Pn. Shalimatunnur Hasan@Lily
Phone: 012-737 8697
Email: shalimatunnur@utm.my / shalimatunnurhasan@gmail.com