Data-mining by probability-based patterns

In this paper a new method is suggested for designing patterns in data-mining. These patterns are designed using probability rules in decision trees and are cared to be valid, novel, useful and understandable. By using the suggested patterns in data-mining, the system gets efficient information abou...

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Bibliographic Details
Published inITI 2008 - 30th International Conference on Information Technology Interfaces pp. 353 - 360
Main Authors Karegar, M., Isazadeh, A., Fartash, F., Saderi, T., Navin, A.H.
Format Conference Proceeding
LanguageEnglish
Published Zagreb IEEE 01.06.2008
University Computing Centre
Subjects
Applied sciences
Computational modeling
Computer science; control theory; systems
Computers
Data mining
Data models
Data processing. List processing. Character string processing
Decision trees
Exact sciences and technology
Graph
Memory organisation. Data processing
Pattern
Relation
Relationship
Risk management
Software
Tree
Data analysis
Motor car
Probabilistic approach
Information system
Design pattern
Reuse
Information extraction
Planning
Data mining
Metamodel
Decision rule
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Summary:In this paper a new method is suggested for designing patterns in data-mining. These patterns are designed using probability rules in decision trees and are cared to be valid, novel, useful and understandable. By using the suggested patterns in data-mining, the system gets efficient information about the data stored in its data-bases and uses them in the best planning for special objectives.
ISBN:9789537138127
9537138127
ISSN:1330-1012
DOI:10.1109/ITI.2008.4588435