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ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong
IQ
2007
13 years 10 months ago
A Flexible And Generic Data Quality Metamodel
: DQ metadata can be stored in a Metadata Repository (MDR). The structure of the MDR should be carefully defined to ensure a maximum amount of flexibility, generality and ease of u...
David Becker, William McMullen, Kevin Hetherington...
JOI
2007
99views more  JOI 2007»
13 years 8 months ago
Measuring quality of similarity functions in approximate data matching
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
ECIS
2003
13 years 10 months ago
Information quality issues in telco database marketing campaigns
This paper discusses information quality issues concerning consumer data assimilated by telecommunication companies (telcos) in regional and global ventures. First, it describes v...
Georgios P. Papamichail, Ioannis P. Antoniadis
BMCBI
2010
164views more  BMCBI 2010»
13 years 6 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...