Paper Info
Title
Application of Data Decomposition to Incomplete Information Systems
Abstract
Abstract: Many developed classication methods and knowledge discovery software,that were research subjects for years, suer from the lack of possibility tohandle data with missing attribute values. To adapt existing classication methodsto incomplete information systems, we propose a decomposition method that allowsmore appropriate missing value attributes handling. The decomposition methodconsists of two phases. In the rst step data from original decision table are partitionedinto subsets. In...
Year
DOI
Venue
2002
10.1007/978-3-7908-1777-5_34
Intelligent Information Systems
Keywords
Field
DocType
data decomposition,incomplete information systems,missing values,incomplete information,decision table,knowledge discovery,decomposition method
Incomplete information system,Data mining,Inductive reasoning,Decision table,Computer science,Decomposition method (constraint satisfaction),Software,Knowledge extraction,Artificial intelligence,Data decomposition,Machine learning
Conference
Volume
ISSN
ISBN
17.0
1615-3871
3-7908-1509-8
Citations 
PageRank 
References 
2
0.43
10
Authors
1
Name
Order
Citations
PageRank
Rafal Latkowski1222.33