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» A Partial-Repeatability Approach to Data Mining
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SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
15 years 4 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 4 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
105
Voted
SDM
2007
SIAM
86views Data Mining» more  SDM 2007»
15 years 4 months ago
Identifying Bundles of Product Options using Mutual Information Clustering
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
Claudia Perlich, Saharon Rosset
SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
15 years 4 months ago
Summarizing Review Scores of "Unequal" Reviewers
A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
DAGSTUHL
2004
15 years 4 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz