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Use of Machine Learning Techniques for Integrating Source Data from Diverse Data Sources

Teres Alexis, Shanthi Marie (2016) Use of Machine Learning Techniques for Integrating Source Data from Diverse Data Sources. Masters thesis, Dublin, National College of Ireland.

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Abstract

With the advancements of both the computational power of machine learning models and the complexity of data being generated for analysis, the process of identifying the integration flow of information before analysis is becoming more challenging. Implemented models require information such as source data hierarchy and cardinality information and correlation of subject matter as used in ontology. This research project focuses on the integration phase of database elements to its matching component in the data warehouse using only the source data elements and its content information. It questions the capability of these elements and the profile information of itself and its contents in automating the matching process to its designated target element in a data warehouse.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 03 Dec 2016 12:50
Last Modified: 03 Dec 2016 12:50
URI: http://trap.ncirl.ie/id/eprint/2497

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