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» Numbers in Multi-relational Data Mining
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PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
15 years 9 months ago
Accurate Synthetic Generation of Realistic Personal Information
A large proportion of the massive amounts of data that are being collected by many organisations today is about people, and often contains identifying information like names, addre...
Peter Christen, Agus Pudjijono
149
Voted
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 8 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
130
Voted
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 5 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
122
Voted
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 5 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
138
Voted
APWEB
2003
Springer
15 years 10 months ago
Extending a Web Browser with Client-Side Mining
Abstract. We present WBext (Web Browser extended), a web browser extended with client-side mining capabilities. WBext learns sophisticated user interests and browsing habits by tai...
Hongjun Lu, Qiong Luo, Yeuk Kiu Shun