Perlombongan Data Menggunakan Teknik Penginduksian Aturan

ABDUL NAIM, MAZWAN (2003) Perlombongan Data Menggunakan Teknik Penginduksian Aturan. Other thesis, Universiti Teknologi Malaysia.

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Abstract

Data mining,the extraction on hidden predictive information from large database is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Rule induction technique is use in this data mining prototype system to help business users in decision making by delevering accurate prediction.Rule induction is a good choice when data mining task is prediction of manner. The methodology used for the development of the system is evolution prototype methodology.Java programming language is utilize to implement the process development and Microsoft Access is use as artificial data warehouse.

Item Type: Thesis (Other)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science and Information System > Software Engineering
Depositing User: Unnamed user with email knizam@utm.my
Date Deposited: 04 Jul 2013 07:18
Last Modified: 04 Jul 2013 07:18
URI: http://ir.fsksm.utm.my/id/eprint/2576

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