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introduction - Data Mining & Business Intelligence

Welcome to Data Mining and Business Intelligence Lab. Machine learning is a crucial component of any intelligence system. It attempts to discover trends and regularities from data, past mistakes, and/or other sources, in order to improve the intelligence system. Machine learning has been applied successfully in many areas. Machine learning applications are also often called data mining. In the Data Mining and Business Intelligence Lab at the Department of Computer Science. For well over 10 years.

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Welcome to Data Mining and Business Intelligence Lab. Machine learning is a crucial component of any intelligence system. It attempts to discover trends and regularities from data, past mistakes, and/or other sources, in order to improve the intelligence system. Machine learning has been applied successfully in many areas. Machine learning applications are also often called data mining. In the Data Mining and Business Intelligence Lab at the Department of Computer Science. For well over 10 years.
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introduction - Data Mining & Business Intelligence | kdd.csd.uwo.ca Reviews

https://kdd.csd.uwo.ca

Welcome to Data Mining and Business Intelligence Lab. Machine learning is a crucial component of any intelligence system. It attempts to discover trends and regularities from data, past mistakes, and/or other sources, in order to improve the intelligence system. Machine learning has been applied successfully in many areas. Machine learning applications are also often called data mining. In the Data Mining and Business Intelligence Lab at the Department of Computer Science. For well over 10 years.

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1

news_archive - Data Mining & Business Intelligence

http://kdd.csd.uwo.ca/doku.php/news_archive

Dec 31, 2012. Paper Decisive Supervised Learning. And CX. Ling. Accepted in The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Dec 31, 2012. Paper Effective Top-down Active Learning for Hierarchical Text Classification. And CX. Ling. Accepted in The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Aug 23, 2012. Successfully defended her PhD thesis. The title of her thesis was New Paradigms for Active Learning. And her supervisor was Dr. C.X. Ling. Aug 23, 2012.

2

media - Data Mining & Business Intelligence

http://kdd.csd.uwo.ca/doku.php/media

Lab Members (2012 Summer). The University of Western Ontario. Lab Members (2012 Summer). The University of Western Ontario. Last modified: 2013/07/14 19:37 by. Except where otherwise noted, content on this wiki is licensed under the following license:. CC Attribution-Share Alike 3.0 Unported.

3

people - Data Mining & Business Intelligence

http://kdd.csd.uwo.ca/doku.php/people

Charles X. Ling. Robert J. Yan. Harry H. Zhang, PhD, Professor, Faculty of Computer Science, University of New Brunswick, Canada. Victor S. Sheng, PhD, Assistant Professor, Department of Computer Science, University of Central Arkansas, USA. Sept11 - Dec.1. Jun09 - Dec.09 1. Sep08 - Dec.09. Mar06 - Mar.07. Nov03 - Oct.04. Jinhua Zheng, PhD, Professor, College of Information Engineering, Xiangtan University, China. Last modified: 2014/11/19 23:28 by. CC Attribution-Share Alike 3.0 Unported.

4

introduction - Data Mining & Business Intelligence

http://kdd.csd.uwo.ca/doku.php/introduction

Welcome to Data Mining and Business Intelligence Lab. Machine learning is a crucial component of any intelligence system. It attempts to discover trends and regularities from data, past mistakes, and/or other sources, in order to improve the intelligence system. Machine learning has been applied successfully in many areas. Machine learning applications are also often called data mining. In the Data Mining and Business Intelligence Lab at the Department of Computer Science. For well over 10 years.

5

publications - Data Mining & Business Intelligence

http://kdd.csd.uwo.ca/doku.php/publications

Publications with Charles X. Ling. Other Papers Students Published with Collaborators. Publications with Charles X. Ling. We have published over 120 research papers in peer-reviewed conferences and journals, like TKDE, ICDM, ICML, IJCAI and KDD. For a detail publication list, Please see Professor Charles X. Ling's publication page. Other Papers Students Published with Collaborators. J Du, Z. Cai. A Sorting based Algorithm for Finding a Non-dominated Set in Multi objective Optimization. Procee...Ailing Ni...

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introduction - Data Mining & Business Intelligence

Welcome to Data Mining and Business Intelligence Lab. Machine learning is a crucial component of any intelligence system. It attempts to discover trends and regularities from data, past mistakes, and/or other sources, in order to improve the intelligence system. Machine learning has been applied successfully in many areas. Machine learning applications are also often called data mining. In the Data Mining and Business Intelligence Lab at the Department of Computer Science. For well over 10 years.

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