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» Discovering Robust Knowledge from Databases that Change
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BMCBI
2006
163views more  BMCBI 2006»
13 years 7 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...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 2 months ago
Towards robust place recognition for robot localization
— Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of hi...
Muhammad Muneeb Ullah, Andrzej Pronobis, Barbara C...
WWW
2008
ACM
14 years 8 months ago
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social network...
Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, B...
DGO
2004
80views Education» more  DGO 2004»
13 years 9 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
KDD
2000
ACM
82views Data Mining» more  KDD 2000»
13 years 11 months ago
Exploration mining in diabetic patients databases: findings and conclusions
Real-life data mining applications are interesting because they often present a different set of problems for data miners. One such real-life application that we have done is on t...
Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling