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ICDM
2003
IEEE
91views Data Mining» more  ICDM 2003»
14 years 5 months ago
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
14 years 5 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 5 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
14 years 5 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
ICDM
2003
IEEE
88views Data Mining» more  ICDM 2003»
14 years 5 months ago
Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
ICDM
2003
IEEE
225views Data Mining» more  ICDM 2003»
14 years 5 months ago
Combining the web content and usage mining to understand the visitor behavior in a web site
A web site is a semi structured collection of different kinds of data, whose motivation is show relevant information to visitor and by this way capture her/his attention. Understa...
Juan D. Velásquez, Hiroshi Yasuda, Terumasa...
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 5 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
14 years 5 months ago
TSP: Mining Top-K Closed Sequential Patterns
Sequential pattern mining has been studied extensively in data mining community. Most previous studies require the specification of a minimum support threshold to perform the min...
Petre Tzvetkov, Xifeng Yan, Jiawei Han
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 5 months ago
Enhancing Techniques for Efficient Topic Hierarchy Integration
Jyh-Jong Tsay, Hsuan-Yu Chen, Chi-Feng Chang, Chin...
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 5 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...