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» Information extraction, data mining and joint inference
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KDD
2012
ACM
238views Data Mining» more  KDD 2012»
12 years 1 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
PKDD
2007
Springer
114views Data Mining» more  PKDD 2007»
14 years 4 months ago
Robust Visual Mining of Data with Error Information
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
Jianyong Sun, Ata Kabán, Somak Raychaudhury
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
14 years 4 months ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li
KDD
2003
ACM
114views Data Mining» more  KDD 2003»
14 years 11 months ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau
PKDD
2007
Springer
143views Data Mining» more  PKDD 2007»
14 years 4 months ago
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Sebastian Blohm, Philipp Cimiano