DocumentCode
2351029
Title
The Data Scales in Multi-valued Context Based on Formal Concept Analysis
Author
Shao-Chun, Wu ; Ming-Dong, Li ; Yan, Tang ; Ling-Yu, Xu ; Da-Ming, Wei
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Volume
2
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
278
Lastpage
282
Abstract
Formal Concept Analysis has very important meaning in mathematical methods for data mining and knowledge processing. In the face of the variety of the data structure, traditional methods can hardly meet decider´s need. This paper summarizes a few of data structure for the concept analysis and present the data scale methods for each other based on their own characters. It not only extends the application of the concept analysis, but also makes the data scale methods more efficiently.
Keywords
data analysis; data mining; data structures; formal specification; mathematical analysis; data mining; data scale methods; data structure; formal concept analysis; knowledge processing; multi-valued context; Data engineering; Data mining; Data structures; Information analysis; Information technology; Knowledge engineering; Lattices; Memory; Relational databases; Text analysis; Concept Context; Concept Lattice; Data Scale;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3836-5
Type
conf
DOI
10.1109/CIT.2009.39
Filename
5329084
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