RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION

Fedja Hadzic; Tharam S. Dillon

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION

Topics: Computational Intelligence

In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, 31-36, 2008 , Funchal, Madeira, Portugal

Authors: Fedja Hadzic and Tharam S. Dillon

Affiliation: Digital Eciossytems and Business Intelligence Institute (DEBII), Curtin Universityof Technology, Austria

Keyword(s): Data Mining, Rule Optimization, Feature Selection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Soft Computing

Abstract: In this paper we present a rule optimizing technique motivated by the psychological studies of human concept learning. The technique allows for reasoning to happen at both higher levels of abstraction and lower level of detail in order to optimize the rule set. Information stored at the higher level allows for optimizing processes such as rule splitting, merging and deleting, while the information stored at the lower level allows for determining the attribute relevance for a particular rule.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.141.199.243

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Hadzic, F. and S. Dillon, T. (2008). RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION. In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS; ISBN 978-989-8111-18-0; ISSN 2184-4305, SciTePress, pages 31-36. DOI: 10.5220/0001068300310036

@conference{biosignals08,
author={Fedja Hadzic. and Tharam {S. Dillon}.},
title={RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS},
year={2008},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001068300310036},
isbn={978-989-8111-18-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS
TI - RULE OPTIMIZING TECHNIQUE MOTIVATED BY HUMAN CONCEPT FORMATION
SN - 978-989-8111-18-0
IS - 2184-4305
AU - Hadzic, F.
AU - S. Dillon, T.
PY - 2008
SP - 31
EP - 36
DO - 10.5220/0001068300310036
PB - SciTePress