MYNDA - An intelligent data mining application generator

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

Abstract

Development of a Decision Support System (DSS) based on data mining is expensive. It consists of three main phases: produce quality input data, develop quality knowledge models and developed an application based on the model, which needs experts in the domain, data mining and software development respectively. Current commercial data mining tools, such as Insightful miner, aims for the development of quality knowledge models which are conducted by data mining expert. The knowledge model is not meaningful to the end user without the development of a DSS application based on the knowledge model. Mynda is a web-based data mining tool for domain expert users to generate knowledge models from client's data (model generator) and also generate a data mining application from the knowledge model (application generator). The user only provides input data sets (for example in Excel format) and set the mining technique profile. Mynda will automatically develop the knowledge model and generate an executable data mining application based on the profile. 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 applications.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages217-230
Number of pages14
Volume7067 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2011
Event2nd International Visual Informatics Conference, IVIC 2011 - Selangor
Duration: 9 Nov 201111 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7067 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Visual Informatics Conference, IVIC 2011
CitySelangor
Period9/11/1111/11/11

Fingerprint

Data mining
Data Mining
Generator
Decision Support Systems
Decision support systems
Model
Excel
Miners
Knowledge
Web-based
Data Model
Software Development
Data structures
Mining
Software engineering

Keywords

  • Application Generator
  • Data Mining tools
  • Mynda

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ali Othman, Z., Hamdan, A. R., Abu Bakar, A., Zainudin, S., Mohd Sarim, H., Ahmad Nazri, M. Z., ... Abdul Ghani, A. T. (2011). MYNDA - An intelligent data mining application generator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 7067 LNCS, pp. 217-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7067 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-25200-6_21

MYNDA - An intelligent data mining application generator. / Ali Othman, Zulaiha; Hamdan, Abdul Razak; Abu Bakar, Azuraliza; Zainudin, Suhaila; Mohd Sarim, Hafiz; Ahmad Nazri, Mohd Zakree; Othman, Zalinda; Abdullah, Salwani; Ayob, Masri; Abdul Ghani, Ahmad Tarmizi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7067 LNCS PART 2. ed. 2011. p. 217-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7067 LNCS, No. PART 2).

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

Ali Othman, Z, Hamdan, AR, Abu Bakar, A, Zainudin, S, Mohd Sarim, H, Ahmad Nazri, MZ, Othman, Z, Abdullah, S, Ayob, M & Abdul Ghani, AT 2011, MYNDA - An intelligent data mining application generator. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 7067 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7067 LNCS, pp. 217-230, 2nd International Visual Informatics Conference, IVIC 2011, Selangor, 9/11/11. https://doi.org/10.1007/978-3-642-25200-6_21
Ali Othman Z, Hamdan AR, Abu Bakar A, Zainudin S, Mohd Sarim H, Ahmad Nazri MZ et al. MYNDA - An intelligent data mining application generator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7067 LNCS. 2011. p. 217-230. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-25200-6_21
Ali Othman, Zulaiha ; Hamdan, Abdul Razak ; Abu Bakar, Azuraliza ; Zainudin, Suhaila ; Mohd Sarim, Hafiz ; Ahmad Nazri, Mohd Zakree ; Othman, Zalinda ; Abdullah, Salwani ; Ayob, Masri ; Abdul Ghani, Ahmad Tarmizi. / MYNDA - An intelligent data mining application generator. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7067 LNCS PART 2. ed. 2011. pp. 217-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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