KDIST: a development environment for knowledge discovery system

Author

Zhenglong, Wu ; Ruijing, Wang ; Fanlun, Xiong

Author_Institution

Anhui Hefei New Star Res. Inst. of Appl. Technol., China

fYear

2004

fDate

8-10 Nov. 2004

Firstpage

376

Lastpage

381

Abstract

The paper presents a universal development environment of application domain-oriented knowledge discovery system - KDIST. Based on graphic modeling and intelligent guidance techniques, KDIST is user-friendly enough for generic people to develop a knowledge discovery system with expertise as little as possible. Not only discovering knowledge from data with high performance, but can the developed knowledge discovery system add discovered knowledge to a relative knowledge base and then refine knowledge on the premise of keeping consistence of the knowledge base.

Keywords

agriculture; data integrity; data mining; database management systems; distributed object management; expert systems; KDIST; application domain-oriented knowledge discovery system; data mining; graphic modeling; intelligent guidance techniques; knowledge base; knowledge refinement; universal development environment; Agriculture; Business; Content addressable storage; Data mining; Databases; Expert systems; Graphics; Intelligent systems; Machine intelligence; Refining;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration, 2004. IRI 2004. Proceedings of the 2004 IEEE International Conference on

Print_ISBN

0-7803-8819-4

Type

conf

DOI

10.1109/IRI.2004.1431490

Filename

1431490