Paper Info
Title
Pattern Discovery from Few Data
Abstract
Giving a limited data set, how to derive its properties is what we are interested in this study. Although because of the increasing power of computers and internet, collecting a huge number of data such that a database becomes a data warehouse is a common phenomenon, especially in industries, it cannot be denied that there were drastic disasters such as terrorist attacks, nuclear plants explosion which happened statistically few, yet resulted in incredible lost in many ways. How to analyze such data so that their patterns can be revealed and predicted is what we concerned. Based on Possibility Theory we have obtained some results that are reported in this paper with the discussion of its possible extension and applications.
Year
DOI
Venue
2005
10.1109/ICITA.2005.208
ICITA (1)
Keywords
Field
DocType
pattern discovery,possible extension,terrorist attack,data warehouse,common phenomenon,limited data,huge number,drastic disaster,nuclear plants explosion,increasing power,possibility theory,set theory,internet,pattern recognition,data warehouses,industrial engineering,membership function,databases,terrorism
Data warehouse,Set theory,Computer security,Nuclear plant,Computer science,Terrorism,Possibility theory,Phenomenon,The Internet
Conference
ISBN
Citations 
PageRank 
0-7695-2316-1
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Hsiao-Fan Wang127827.24