DocumentCode
2188652
Title
Incremental Emerging Patterns Mining for Identifying Safe and Non-safe Power Load Lines
Author
Lee, Jong Bum ; Piao, Minghao ; Ryu, Keun Ho
Author_Institution
Database/Bioinf. Lab., Chungbuk Nat. Univ., Cheongju, South Korea
fYear
2010
fDate
June 29 2010-July 1 2010
Firstpage
1424
Lastpage
1429
Abstract
In this paper, we proposed an incremental TFP-tree algorithm for mining emerging patterns that can search efficiently within limitation of memory. Especially, the concept of pre-infrequent patterns pruning and use of two different minimum supports, it made the algorithm be possible to mine most emerging patterns and handle the problem of mining from incrementally increased, large size of data sets. We also defined and analyzed the significant difference of safe and non-safe power load lines and identify which line is potentially non-safe by using those emerging patterns.
Keywords
data mining; pattern classification; power engineering computing; power transmission lines; tree data structures; data set; emerging pattern mining; incremental TFP-tree algorithm; nonsafe power load line identification; pre-infrequent pattern pruning; safe power load line identification; Aggregates; Algorithm design and analysis; Classification algorithms; Construction industry; Data mining; Itemsets; Emerging Patterns; TFP-tree; incremental mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location
Bradford
Print_ISBN
978-1-4244-7547-6
Type
conf
DOI
10.1109/CIT.2010.255
Filename
5577832
Link To Document