Sciweavers

9290 search results - page 58 / 1858
» The Predictability of Data Values
Sort
View
RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
14 years 3 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 ...
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
14 years 1 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
ICDE
2007
IEEE
111views Database» more  ICDE 2007»
14 years 11 months ago
MMS: Using Queries As Data Values for Metadata Management
We demonstrate MMS, a system for storing and managing a variety of metadata in a simple, elegant and uniform way. The system is based on two observations. First, that the relation...
Divesh Srivastava, Yannis Velegrakis
VLDB
2007
ACM
139views Database» more  VLDB 2007»
14 years 4 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
Mingxi Wu, Chris Jermaine
BMCBI
2006
103views more  BMCBI 2006»
13 years 10 months ago
Improving missing value imputation of microarray data by using spot quality weights
Background: Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools requir...
Peter Johansson, Jari Häkkinen