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RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
Handling Missing Attribute Values in Preterm Birth Data Sets
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold ...
JCIT
2007
107views more  JCIT 2007»
13 years 5 months ago
A New Approach to Computing Weighted Attributes Values in Incomplete Information Systems
The Rough Sets theory has been conceived to deal with inexact, uncertain or vague knowledge in Information systems. The article is devoted to propose notions including the general...
Tian Hong, Wang Xiukun, Henryk Rybinski
TKDE
2002
141views more  TKDE 2002»
13 years 5 months ago
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
We consider the problem of finding a set of attribute values that give a high quality binary segmentation of a database. The quality of a segmentation is defined by an objective fu...
Yasuhiko Morimoto, Takeshi Fukuda, Takeshi Tokuyam...
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
Jerzy W. Grzymala-Busse, Ming Hu
JCIT
2010
184views more  JCIT 2010»
13 years 13 days ago
A Risk Evaluation Method for the High-Technology Project Investment Based on ET-WA Operator with 2-Tuple Linguistic Information
With respect to multiple attribute decision making problems with linguistic information of attribute values and weight values, a decision analysis is proposed. Then, a method base...
Jianli Wei