The Realization of an Algorithm for the State Knowledge Discovery Based on Induction Logic

Author

Wulamu, Aziguli ; Qi Jinling

Author_Institution

Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2010

fDate

25-26 Dec. 2010

Firstpage

1

Lastpage

6

Abstract

With the development of research and application of data mining and knowledge acquisition, the requirements for accessing to state, variation and causality contained in scientific and engineering data set have been increasing. In this paper, for analyzing and mining the continuous and time-varying data, an algorithm for state data mining is proposed, which is based on language value structure and inductive logic. And the validity of the algorithm is verified by experiments. The method is suitable for mining the states and variation rules from the scientific and engineering database.

Keywords

data mining; engineering information systems; inductive logic programming; scientific information systems; data mining; engineering data set; engineering database; induction logic; inductive logic; knowledge acquisition; language value structure; scientific data set; scientific database; state knowledge discovery; time-varying data; Data mining; Databases; Face; Knowledge based systems; Knowledge engineering; Medical diagnostic imaging; Tongue;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on

Conference_Location

Wuhan

ISSN

2156-7379

Print_ISBN

978-1-4244-7939-9

Electronic_ISBN

2156-7379

Type

conf

DOI

10.1109/ICIECS.2010.5678195

Filename

5678195