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» Fusing Approximate Knowledge from Distributed Sources
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PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
SEMWEB
2009
Springer
14 years 3 months ago
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
To cope with society’s demand for transparency and corruption prevention, the Brazilian Office of the Comptroller General (CGU) has carried out a number of actions, including: aw...
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 2 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 3 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...