Paper Info
Title
Incremental Emerging Patterns Mining for Identifying Safe and Non-safe Power Load Lines
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.
Year
DOI
Venue
2010
10.1109/CIT.2010.255
CIT
Keywords
Field
DocType
significant difference,non-safe power load lines,incremental emerging patterns mining,non-safe power load line,different minimum,large size,identifying safe,pre-infrequent patterns pruning,incremental tfp-tree algorithm,construction industry,data set,algorithm design and analysis,classification algorithms,tree data structures,power transmission lines,data mining
Data mining,Data set,Algorithm design,Computer science,Tree (data structure),Electric power transmission,Construction industry,Artificial intelligence,Statistical classification,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
3
Name
Order
Citations
PageRank
Jong Bum Lee111.03
Minghao Piao2376.30
Keun Ho Ryu388385.61