Title :
Formal Concept Analysis for Data Mining: Theoretical and Practical Approaches
Author :
Silva, Joao Paulo Domingos ; Zarate, Luis Enrique ; Vieira, Newton Jose
Author_Institution :
Minas Gerais Fed. Univ.
Abstract :
Knowledge discovery in databases (KDD) is the most widely known process with the purpose of knowledge extraction. Formal concept analysis (FCA) is proposed here as an alternative step in KDD process, due to its capacity of generating diagrams that facilitate data representation and analysis. FCA can perform the task of data mining (DM), supporting users in knowledge management. Both theoretical and practical aspects are presented here
Keywords :
data analysis; data mining; KDD process; data analysis; data mining; data representation; database knowledge discovery; formal concept analysis; knowledge extraction; knowledge management; Animals; Data analysis; Data mining; Databases; Delta modulation; Glands; Hair; Humans; Knowledge management; OWL;
Conference_Titel :
Engineering of Intelligent Systems, 2006 IEEE International Conference on
Conference_Location :
Islamabad
Print_ISBN :
1-4244-0456-8
DOI :
10.1109/ICEIS.2006.1703148
