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PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
15 years 9 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
ICDE
1995
IEEE
139views Database» more  ICDE 1995»
16 years 5 months ago
Set-Oriented Mining for Association Rules in Relational Databases
We describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less escient than special-purpose...
Maurice A. W. Houtsma, Arun N. Swami
IAT
2007
IEEE
15 years 10 months ago
An Intelligent Web Agent to Mine Bilingual Parallel Pages via Automatic Discovery of URL Pairing Patterns
This paper describes an intelligent agent to facilitate bitext mining from the Web via automatic discovery of URL pairing patterns (or keys) for retrieving parallel web pages. The...
Chunyu Kit, Jessica Yee Ha Ng
ICDE
2004
IEEE
155views Database» more  ICDE 2004»
16 years 5 months ago
BIDE: Efficient Mining of Frequent Closed Sequences
Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter lea...
Jianyong Wang, Jiawei Han