DocumentCode
3461623
Title
Mining from Incomplete Patterns
Author
Onet, Adrian
Author_Institution
Dept. of Comput. Sci., Concordia Univ., Montreal, QC, Canada
fYear
2009
fDate
June 30 2009-July 2 2009
Firstpage
394
Lastpage
399
Abstract
Often in higher order data mining (HOM) applications we need to use incomplete patterns received from different sources. In this paper, a solution is proposed for mining new patterns from incomplete or corrupted patterns received from the sources. The solution is based on a relation representation for the patterns, this representation may be used both for pattern discovery from incomplete information, and also for higher order data mining from sources with different competences as presented.
Keywords
data mining; data structures; higher order data mining; pattern discovery; pattern relation representation method; Application software; Computer science; Data mining; Data privacy; Data warehouses; Drugs; Manufacturing; Marketing and sales; Pattern analysis; Pattern recognition; Chase; Data Mining; Higer Order Data Mining; Theoretical Databases;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3687-3
Type
conf
DOI
10.1109/NISS.2009.115
Filename
5260771
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