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RSFDGRC
1999
Springer
194views Data Mining» more  RSFDGRC 1999»
14 years 2 months ago
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...
ICIS
2004
13 years 11 months ago
Reconciling Attribute Values from Multiple Data Sources
Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
AMC
2006
173views more  AMC 2006»
13 years 10 months ago
Data envelopment analysis with missing values: An interval DEA approach
Missing values in inputs, outputs cannot be handled by the original data envelopment analysis (DEA) models. In this paper we introduce an approach based on interval DEA that allow...
Yannis G. Smirlis, Elias K. Maragos, Dimitris K. D...
HIS
2004
13 years 11 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
ICCD
2005
IEEE
109views Hardware» more  ICCD 2005»
14 years 6 months ago
VALVE: Variable Length Value Encoder for Off-Chip Data Buses.
We propose VAriable Length Value Encoding (VALVE) technique to reduce the power consumption in the off-chip data buses. While past research has focused on encoding fixed length da...
Dinesh C. Suresh, Banit Agrawal, Walid A. Najjar, ...