MYNDA: An IDSS generator with hyperheuristic attribute reduction

Abdul Razak Hamdan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Development of a knowledge-based application is always hindered by the knowledge acquisition bottleneck. A knowledge-based application relies on a discovered knowledge to support the process of decision making. The knowledge model is not meaningful to the end user without the development of the DSS application of the knowledge model. MYNDA is developed as a web based data mining based DSS generator. The user will provides input data sets and set the mining technique profile. MYNDA will automatically develop the knowledge model and generate an executable data mining application. The data mining application can be run independently as a stand-alone application. MYNDA has reduced the complexity of the development of data mining based DSS.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CityBandung
Period17/7/1119/7/11

Fingerprint

Data mining
Knowledge acquisition
Decision making

Keywords

  • attribute reduction
  • Data Mining tools
  • meta-heuristic DSS Generator
  • MYNDA

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Hamdan, A. R. (2011). MYNDA: An IDSS generator with hyperheuristic attribute reduction. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021847] https://doi.org/10.1109/ICEEI.2011.6021847

MYNDA : An IDSS generator with hyperheuristic attribute reduction. / Hamdan, Abdul Razak.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021847.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hamdan, AR 2011, MYNDA: An IDSS generator with hyperheuristic attribute reduction. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021847, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, 17/7/11. https://doi.org/10.1109/ICEEI.2011.6021847
Hamdan AR. MYNDA: An IDSS generator with hyperheuristic attribute reduction. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021847 https://doi.org/10.1109/ICEEI.2011.6021847
Hamdan, Abdul Razak. / MYNDA : An IDSS generator with hyperheuristic attribute reduction. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
@inproceedings{370eff1490fd4b49abeccf96a98ec5ec,
title = "MYNDA: An IDSS generator with hyperheuristic attribute reduction",
abstract = "Development of a knowledge-based application is always hindered by the knowledge acquisition bottleneck. A knowledge-based application relies on a discovered knowledge to support the process of decision making. The knowledge model is not meaningful to the end user without the development of the DSS application of the knowledge model. MYNDA is developed as a web based data mining based DSS generator. The user will provides input data sets and set the mining technique profile. MYNDA will automatically develop the knowledge model and generate an executable data mining application. The data mining application can be run independently as a stand-alone application. MYNDA has reduced the complexity of the development of data mining based DSS.",
keywords = "attribute reduction, Data Mining tools, meta-heuristic DSS Generator, MYNDA",
author = "Hamdan, {Abdul Razak}",
year = "2011",
doi = "10.1109/ICEEI.2011.6021847",
language = "English",
isbn = "9781457707520",
booktitle = "Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011",

}

TY - GEN

T1 - MYNDA

T2 - An IDSS generator with hyperheuristic attribute reduction

AU - Hamdan, Abdul Razak

PY - 2011

Y1 - 2011

N2 - Development of a knowledge-based application is always hindered by the knowledge acquisition bottleneck. A knowledge-based application relies on a discovered knowledge to support the process of decision making. The knowledge model is not meaningful to the end user without the development of the DSS application of the knowledge model. MYNDA is developed as a web based data mining based DSS generator. The user will provides input data sets and set the mining technique profile. MYNDA will automatically develop the knowledge model and generate an executable data mining application. The data mining application can be run independently as a stand-alone application. MYNDA has reduced the complexity of the development of data mining based DSS.

AB - Development of a knowledge-based application is always hindered by the knowledge acquisition bottleneck. A knowledge-based application relies on a discovered knowledge to support the process of decision making. The knowledge model is not meaningful to the end user without the development of the DSS application of the knowledge model. MYNDA is developed as a web based data mining based DSS generator. The user will provides input data sets and set the mining technique profile. MYNDA will automatically develop the knowledge model and generate an executable data mining application. The data mining application can be run independently as a stand-alone application. MYNDA has reduced the complexity of the development of data mining based DSS.

KW - attribute reduction

KW - Data Mining tools

KW - meta-heuristic DSS Generator

KW - MYNDA

UR - http://www.scopus.com/inward/record.url?scp=80054015037&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054015037&partnerID=8YFLogxK

U2 - 10.1109/ICEEI.2011.6021847

DO - 10.1109/ICEEI.2011.6021847

M3 - Conference contribution

AN - SCOPUS:80054015037

SN - 9781457707520

BT - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011

ER -