A data mining approach to improve the automated quality of data

Alkharboush, Nawaf Abdullah H. (2014) A data mining approach to improve the automated quality of data. PhD thesis, Queensland University of Technology.


This thesis describes the development of a robust and novel prototype to address the data quality problems that relate to the dimension of outlier data. It thoroughly investigates the associated problems with regards to detecting, assessing and determining the severity of the problem of outlier data; and proposes granule-mining based alternative techniques to significantly improve the effectiveness of mining and assessing outlier data.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

618 since deposited on 08 Jan 2014
113 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 65641
Item Type: QUT Thesis (PhD)
Supervisor: Li, Yuefeng, Bruce, Christine, & Nayak, Richi
Keywords: Data Mining, Granule Mining, Data Quality, Outlier Detection, Quality Assessment, Noise Detection, Data Cleaning
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 08 Jan 2014 05:16
Last Modified: 07 Sep 2015 01:03

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page