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» Improving Mining Quality by Exploiting Data Dependency
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KDD
2008
ACM
148views Data Mining» more  KDD 2008»
14 years 5 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...
BNCOD
2009
182views Database» more  BNCOD 2009»
13 years 5 months ago
Conditional Dependencies: A Principled Approach to Improving Data Quality
Real-life date is often dirty and costs billions of pounds to businesses worldwide each year. This paper presents a promising approach to improving data quality. It effectively det...
Wenfei Fan, Floris Geerts, Xibei Jia
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
13 years 8 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
IQIS
2005
ACM
13 years 10 months ago
Exploiting relationships for object consolidation
Researchers in the data mining area frequently have to spend significant portion of their time on preprocessing the data in order to apply their algorithms to real-world datasets...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
EDBT
2002
ACM
123views Database» more  EDBT 2002»
14 years 4 months ago
UMiner: A Data Mining System Handling Uncertainty and Quality
In this paper we present UMiner, a new data mining system, which improves the quality of the data analysis results, handles uncertainty in the clustering & classification proce...
Christos Amanatidis, Maria Halkidi, Michalis Vazir...