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
fDate :
June 29 2010-July 1 2010
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;
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
DOI :
10.1109/CIT.2010.255