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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
BMCBI
2007
86views more  BMCBI 2007»
13 years 8 months ago
Tandem mass spectrometry data quality assessment by self-convolution
Background: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs...
Keng Wah Choo, Wai Mun Tham
BMCBI
2006
100views more  BMCBI 2006»
13 years 8 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...
SSDBM
1998
IEEE
115views Database» more  SSDBM 1998»
14 years 21 days ago
Tools for Data Warehouse Quality
In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager Con...
Michael Gebhardt, Matthias Jarke, Manfred A. Jeusf...
DEDUCTIVE
1993
103views Database» more  DEDUCTIVE 1993»
13 years 9 months ago
Q-Data: Using Deductive Database Technology to Improve Data Quality
This chapter discusses an extended deductive database prototype system, Q-Data, developed by Bellcore to improve data quality through data validation and cleanup. The key technolo...
Amit P. Sheth, Christopher Wood, Vipul Kashyap