loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Urszula Boryczka and Jan Kozak

Affiliation: University of Silesia, Poland

Keyword(s): Ant Miner, Ant Colony Optimization, Data Mining.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Agents ; Intelligent Control Systems and Optimization ; Intelligent Social Agents and Distributed Artificial Intelligence Applications ; Internet Technology ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Knowledge-Based Systems Applications ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: In this paper, a novel rule discovery system that utilizes the Ant Colony Optimization (ACO) is presented. The ACO is a metaheuristic inspired by the behavior of real ants, where they search optimal solutions by considering both local heuristic and previous knowledge, observed by pheromone changes. In our approach we want to ensure the good performance of Ant-Miner by applying the new versions of heuristic functions in a main rule. We want to emphasize the role of the heuristic function by analyzing the influence of different propositions of these functions to the performance of Ant-Miner. The comparative study will be done using the 5 data sets from the UCI Machine Learning repository.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.139.238.76

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:
Boryczka, U. and Kozak, J. (2009). A NEW HEURISTIC FUNCTION IN ANT-MINER APPROACH. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 33-38. DOI: 10.5220/0001857700330038

@conference{iceis09,
author={Urszula Boryczka. and Jan Kozak.},
title={A NEW HEURISTIC FUNCTION IN ANT-MINER APPROACH},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={33-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001857700330038},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A NEW HEURISTIC FUNCTION IN ANT-MINER APPROACH
SN - 978-989-8111-85-2
IS - 2184-4992
AU - Boryczka, U.
AU - Kozak, J.
PY - 2009
SP - 33
EP - 38
DO - 10.5220/0001857700330038
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic