Title :
Mining from Incomplete Patterns
Author_Institution :
Dept. of Comput. Sci., Concordia Univ., Montreal, QC, Canada
fDate :
June 30 2009-July 2 2009
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;
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
DOI :
10.1109/NISS.2009.115
