Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/28073
Title: | Domain-Driven Data Mining Framework for Effective Decisions |
Authors: | Fauziah Abdul Rahman Norhaidah Abu Haris Rahimah Kassim Zirawani Baharum Helmi Adly Mohd Noor Faradina Ahmad (UniKL MITEC) |
Keywords: | AKD Data cleaning |
Issue Date: | 12-Jul-2023 |
Abstract: | The purpose of this study is to obtain a better understanding of how to create a knowledge discovery database (KDD) and how to use it in maintenance. Frameworks for undertaking knowledge discovery and data mining have changed over time to meet corporate needs, according to the literature. Domain driven data mining is a KDD framework that is often used for this (DDDM). We use DDDM-KDD in this study to design an effective tire maintenance strategy for a Malaysian transportation company. The direction of the study, the utilization of research procedures, and the contribution of research are all factors to consider. |
URI: | http://hdl.handle.net/123456789/28073 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
6 Domain-Driven Data Mining Framework for Effective Decisions.pdf | 206.77 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.