Top-10 Algorithms in Data Mining

Speaker:	Professor Xindong WU
		University of Vermont, USA,
			and
		Hong Kong Polytechnic University

Title:		"Top-10 Algorithms in Data Mining"

Date:		Monday, 22 October 2007

Time:		4:00pm - 5:00pm

Venue:		Lecture Theatre F
		(Leung Yat Sing Lecture Theatre, near lift nos. 25/26)
		HKUST

Abstract:

This talk will present the following top-10 data mining algorithms
identified at IEEE ICDM '06: C4.5, K-Means, SVM, Apriori, EM, PageRank,
AdaBoost, kNN, Naive Bayes, and CART.  For each algorithm, we provide a
description of the algorithm and discuss its impact and the current and
further research on the algorithm.


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Biography:

Xindong WU is a Professor and the Chair of the Department of Computer
Science at the University of Vermont, USA, and also a Visiting Chair
Professor of Data Mining in the Department of Computing at the Hong Kong
Polytechnic University, China. He holds a PhD in Artificial Intelligence
from the University of Edinburgh, Britain.  His research interests include
data mining, knowledge-based systems, and Web information exploration.  He
has published extensively in these areas in various journals and
conferences, including IEEE TKDE, TPAMI, ACM TOIS, DMKD, KAIS, IJCAI,
AAAI, ICML, KDD, ICDM, and WWW, as well as 14 books and conference
proceedings.