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» Rule-Based Measurement Of Data Quality In Nominal Data
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89
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EOR
2007
86views more  EOR 2007»
15 years 1 months ago
Multiple dependent state sampling plans for lot acceptance based on measurement data
This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the inspection of normally distributed quality characteristics. The decision upon the a...
S. Balamurali, Chi-Hyuck Jun
133
Voted
DBA
2004
113views Database» more  DBA 2004»
15 years 3 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
134
Voted
ITEE
2007
15 years 3 months ago
Data Quality Mining: Employing Classifiers for Assuring Consistent Datasets
Abstract: Independent from the concrete definition of the term “data quality” consistency always plays a major role. There are two main points when dealing with the data qualit...
Fabian Grüning
115
Voted
ESEM
2007
ACM
15 years 3 months ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
15 years 7 months ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...