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KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 4 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
14 years 4 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 4 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
14 years 4 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
KDD
2001
ACM
146views Data Mining» more  KDD 2001»
14 years 4 months ago
Mining the network value of customers
Pedro Domingos, Matthew Richardson
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 4 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
14 years 4 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
KDD
2001
ACM
164views Data Mining» more  KDD 2001»
14 years 4 months ago
Data mining criteria for tree-based regression and classification
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining applications than conventional trees. To this end, we pro...
Andreas Buja, Yung-Seop Lee