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
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;
Conference_Titel :
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3836-5
DOI :
10.1109/CIT.2009.39
