Dr. Bing Xue, School of Engineering and Computer Science at Victoria University of Wellington, New Zealand
In data mining and machine learning, many real-world problems such as bio-data classification and biomarker detection, image analysis, and text mining often involve a large number of features/attributes. However, not all the features are essential since many of them are redundant or even irrelevant, and the useful features are typically not equally important. Using all the features typically does not produce good results due to the big dimensionality and the large search space. This problem can be solved by feature selection to select a small subset of original (relevant) features or feature construction to create a smaller set of high-level features using the original low-level features.
Evolutionary computation techniques such as genetic algorithms, genetic programming, particle swarm optimisation, and evolutionary multi-objective optimisation have been recently used for feature selection and construction for dimensionality reduction, and achieved great success. The webinar will introduce the general framework within which evolutionary feature selection and construction can be studied and applied, sketching a schematic taxonomy of the field and providing examples of successful real-world applications. The application areas to be covered will include bio-data classification and biomarker detection, image analysis and pattern classification.
Bing Xue is currently a Senior Lecturer in School of Engineering and Computer Science at Victoria University of Wellington,New Zealand. Her research focuses mainly on evolutionary computation, feature selection, feature construction, multi-objective optimisation, data mining and machine learning.
Dr Xue is an Associate Editor/member of Editorial Board for five international journals including IEEE Computational Intelligence Magazine, Applied Soft Computing, International Journal of Swarm Intelligence, and International Journal of Computer Information Systems and Industrial Management Applications. She is a Guest Editor for the Special Issue on Evolutionary Feature Reduction and Machine Learning for the Springer Journal of Soft Computing. She is also a Guest Editor for Evolutionary Image Analysis and Pattern Recognition in Journal of Applied Soft Computing. She has also been a program chair, special session chair, tutorial chair, symposium chair, and publicity chair for a number of international conferences. She is serving as a reviewer of over 20 international journals and a program committee member for over 50 international conferences. She is currently the Chair of the IEEE Task Force on Evolutionary Feature Selection and Construction. She is chairing the IEEE CIS Graduate Student Research Grants Committee and the Secretary of the IEEE Computational Intelligence Chapter in New Zealand.
Please register for Evolutionary Computation for Feature Selection and Feature Construction on Sep 25, 2017 2:00 PM NZDT at:
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