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» Quantifying Uncertainty of Knowledge Discovered From Databas...
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EDBT
2000
ACM
15 years 3 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
DASFAA
2009
IEEE
156views Database» more  DASFAA 2009»
15 years 3 months ago
Knowledge Discovery over the Deep Web, Semantic Web and XML
Abstract. In this tutorial we provide an insight into Web Mining, i.e., discovering knowledge from the World Wide Web, especially with reference to the latest developments in Web t...
Aparna S. Varde, Fabian M. Suchanek, Richi Nayak, ...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
15 years 6 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
BMCBI
2006
163views more  BMCBI 2006»
14 years 11 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
83
Voted
DGO
2004
80views Education» more  DGO 2004»
15 years 1 months ago
Temporal Knowledge Discovery with Infrequent Episodes
In this paper, we present an efficient algorithm which discovers rare episodes with a combination of bottomup and top-down scanning schema. The information sharing between bottom-...
Dan Li, Liying Jiang, Jitender S. Deogun