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SDM
2004
SIAM
271views Data Mining» more  SDM 2004»
10 years 1 months ago
A Foundational Approach to Mining Itemset Utilities from Databases
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
Hong Yao, Howard J. Hamilton, Cory J. Butz
SDM
2004
SIAM
177views Data Mining» more  SDM 2004»
10 years 1 months ago
Reservoir-Based Random Sampling with Replacement from Data Stream
Byung-Hoon Park, George Ostrouchov, Nagiza F. Sama...
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
10 years 1 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
SDM
2004
SIAM
189views Data Mining» more  SDM 2004»
10 years 1 months ago
An Abstract Weighting Framework for Clustering Algorithms
act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
Richard Nock, Frank Nielsen
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
10 years 1 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
10 years 1 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
10 years 1 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
10 years 1 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
10 years 1 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
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