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» A framework for visual data mining of structures
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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 1 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
CIKM
2005
Springer
14 years 1 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 1 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
PAKDD
2007
ACM
166views Data Mining» more  PAKDD 2007»
14 years 1 months ago
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
IUI
2004
ACM
14 years 27 days ago
Visual data mining and zoomable interfaces
In this paper an approach for combining a focus+context visual data mining method with zoomable interfaces is shown. Therefore a zoomable interface for analysing structurable imag...
Alexander Kort