Development of a knowledge-driven constructive induction mechanism | Zendy

Suzanne Hoi Shan Lo | Zendy; A. Fazel Famili | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Development of a knowledge-driven constructive induction mechanism

Author(s) -

Suzanne Hoi Shan Lo,

A. Fazel Famili

Publication year - 1997

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-63346-4

DOI - 10.1007/bfb0052839

Subject(s) - constructive , computer science , mechanism (biology) , process (computing) , representation (politics) , knowledge representation and reasoning , management science , knowledge management , software engineering , process management , artificial intelligence , programming language , engineering , epistemology , philosophy , politics , political science , law

This paper discusses the advantages of knowledge-driven constructive induction (KDCI). Development, testing, and evaluation of a KDCI (or in short CI for constructive induction) sys- tem are explained in detail. The objectives of developing this system were to demonstrate the usefulness of the approach and to provide knowledge-driven constructive induction support in our data analysis research. Technical details, particularly the process of building new attributes and changing the representation space, are discussed. Other issues concerning the design and implementation of the CI mechanism are presented. The evaluation process and comparison measures used for evaluation of the system are briefly explained. Experimental results, using 4 data sets from a real-world application, are given.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research