DocumentCode
603164
Title
Disk-resident high utility pattern mining: A trie structure implementation
Author
Dwivedi, V.K.
Author_Institution
Dept. of Comput. Sci. & Inf. Technol., United Coll. of Eng. & Manage., Allahabad, India
fYear
2013
fDate
9-10 March 2013
Firstpage
44
Lastpage
49
Abstract
High utility pattern mining is useful for identification of the most valuable itemsets in incremental databases. We propose algorithm for constructing IHUP_TWU tree structure using trie structure. We further propose mining algorithm for identifying most valuable itemsets by using trie structures. Experiments show that algorithms are efficient as compared to other existing algorithms.
Keywords
data mining; database management systems; tree data structures; trees (mathematics); IHUP_TWU tree structure; disk-resident high utility pattern mining; incremental databases; mining algorithm; trie structure implementation; Algorithm design and analysis; Data mining; Itemsets; Memory management; Organizations; Time complexity; Disk-resident; Itemsets; Threshold; Trie; Utility;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Systems and Computer Networks (ISCON), 2013 International Conference on
Conference_Location
Mathura
Print_ISBN
978-1-4673-5987-0
Type
conf
DOI
10.1109/ICISCON.2013.6524171
Filename
6524171
Link To Document