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» Approximate data mining in very large relational data
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KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 4 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
APVIS
2006
15 years 3 months ago
Knowledge visualization in hepatitis study
Evidence-based medicine (EBM) is a shift in which medicine from being based on individual experience of doctors to evidence with clear background. In this shift, data mining can p...
DucDung Nguyen, Tu Bao Ho, Saori Kawasaki
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 7 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
BMCBI
2010
164views more  BMCBI 2010»
15 years 1 months ago
Flexible network reconstruction from relational databases with Cytoscape and CytoSQL
Background: Molecular interaction networks can be efficiently studied using network visualization software such as Cytoscape. The relevant nodes, edges and their attributes can be...
Kris Laukens, Jens Hollunder, Thanh Hai Dang, Geer...
FLAIRS
2001
15 years 3 months ago
Hierarchical Representatives Clustering with Hybrid Approach
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhav...
Byung-Joo An, Eunju Kim, Yillbyung Lee