Guest Editorial—Special Issue on Novel Techniques and Applications of Data Analytics
Yap Bee Wah1,
Simon Fong2, and
Sabah Mohammed3
1. Faculty Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
2. Department of Computer and Information Science, University of Macau, Macau SAR
3. Department of Computer Science, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada
2. Department of Computer and Information Science, University of Macau, Macau SAR
3. Department of Computer Science, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada
Statistical techniques and data analytics methods are the corner-stones for enabling many useful IT (Information Technology) applications for enhancing our lives. Some fields where such applications find their uses include but not limited to business, finance, engineering, health sciences, psychology and bioinformatics. Traditionally, statistics played a very essential role in decision support and decision making at all levels: departmental, enterprise-wide, societal and global. While the underlying statistical data are widely used as ingredient for deriving insights, the algorithms and techniques have evolved and ever improved, since the times of the Father of Statistics, Sir Ronald Aylmer Fisher, 1890-1962.
Cite: Yap Bee Wah, Simon Fong, and Sabah Mohammed, "Guest Editorial—Special Issue on Novel Techniques and Applications of Data Analytics," Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 2, pp. 88-90, May 2013. doi:10.4304/jetwi.5.2.88-90
Cite: Yap Bee Wah, Simon Fong, and Sabah Mohammed, "Guest Editorial—Special Issue on Novel Techniques and Applications of Data Analytics," Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 2, pp. 88-90, May 2013. doi:10.4304/jetwi.5.2.88-90
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