Development of the data preprocessing agent's knowledge for data mining using rough set theory

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

1 Citation (Scopus)

Abstract

Data preprocessing is one of the important task in Knowledge Discovery in Databases or Data Mining. The preprocessing is complex and tedious task especially involving large dataset. It is crucial for a data miner to be able to determine the appropriate data preprocessing techniques for a particular data set as it will save the processing time and retain the quality of the data for data mining. Current data mining researchers use agent as a tool to assist data mining process. However, very few researches focus on using agent in the data preprocessing. Applying agents with autonomous, flexible and intelligence reduced the cost of having a quality, precise and updated data or knowledge. The most important part of having an agent to perform data mining task particularly data preprocessing is the generation of agent's knowledge. The data preprocessing agent's knowledge are meant for agent to decide the appropriate data preprocessing technique to be used on a particular dataset. Therefore, in this paper we propose a methodology for creating the data preprocessing agent's knowledge by using rough set theory. The experimental results showed that the agent's knowledge generated is significant to be used for automated data preprocessing techniques selection.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages86-93
Number of pages8
Volume5589 LNAI
DOIs
Publication statusPublished - 2009
Event4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009 - Gold Coast, QLD
Duration: 14 Jul 200916 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5589 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009
CityGold Coast, QLD
Period14/7/0916/7/09

Fingerprint

Data Preprocessing
Rough set theory
Rough Set Theory
Data mining
Data Mining
Miners
Knowledge Discovery in Databases
Knowledge
Large Data Sets
Preprocessing
Processing
Costs
Methodology

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ali Othman, Z., Abu Bakar, A., Othman, Z., & Rosli, S. (2009). Development of the data preprocessing agent's knowledge for data mining using rough set theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5589 LNAI, pp. 86-93). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5589 LNAI). https://doi.org/10.1007/978-3-642-02962-2_11

Development of the data preprocessing agent's knowledge for data mining using rough set theory. / Ali Othman, Zulaiha; Abu Bakar, Azuraliza; Othman, Zalinda; Rosli, Suzanna.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5589 LNAI 2009. p. 86-93 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5589 LNAI).

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

Ali Othman, Z, Abu Bakar, A, Othman, Z & Rosli, S 2009, Development of the data preprocessing agent's knowledge for data mining using rough set theory. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5589 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5589 LNAI, pp. 86-93, 4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, Gold Coast, QLD, 14/7/09. https://doi.org/10.1007/978-3-642-02962-2_11
Ali Othman Z, Abu Bakar A, Othman Z, Rosli S. Development of the data preprocessing agent's knowledge for data mining using rough set theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5589 LNAI. 2009. p. 86-93. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02962-2_11
Ali Othman, Zulaiha ; Abu Bakar, Azuraliza ; Othman, Zalinda ; Rosli, Suzanna. / Development of the data preprocessing agent's knowledge for data mining using rough set theory. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5589 LNAI 2009. pp. 86-93 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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