Dr. Lei Song

Research Scientist
Unitec Institute of Technology, New Zealand

Highest Degree
Ph.D. in Computing from Unitec Institute of Technology, New Zealand

My URL
https://livedna.org/86.10800

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Biography

Dr. Lei Song has completed his Ph.D. in Data Mining from Unitec Institute of Technology, New Zealand, and Masters in Data Mining from Auckland University of Technology. His current area of expertise includes Environmental Data Analysis, Big Data Analysis, Incremental Learning, and Support Vector Machine Learning. He has published 5 research articles in journals.

Area of Interest:

Computer Sciences
Environmental Data Analysis
Big Data Analysis
Incremental Learning
Support Vector Machine Learning

Selected Publications

  1. Dacey, S., L. Song and S. Pang, 2013. An Intelligent Agent Based Land Encroachment Detection Approach. In: Neural Information Processing. Lee, M., A. Hirose, Z.G. Hou and R.M. Kil (Ed.). Springer Berlin Heidelberg, Heidelberg, Germany., ISBN: 978-3-642-42053-5, Pp: 585-592.
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  2. Lai, A., L. Song, Y. Peng, P. Zhang, Q. Wang and S. Pang, 2012. Exploring Crude Oil Impacts to Oil Stocks Through Graphical Computational Correlation Analysis. In: Neural Information Processing. Huang, T., Z. Zeng, C. Li and C.S. Leung (Ed.). Springer Berlin Heidelberg, Heidelberg, Germany., ISBN: 978-3-642-34499-2, pp: 309-317.
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  3. Pang, S., L. Song and N. Kasabov, 2011. Correlation-aided support vector regression for forex time series prediction. Neural Comput. Applic., 20: 1193-1203.
    CrossRef  |  Direct Link  |  
Member since February, 2016