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- W2582360869 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." @default.
- W2582360869 created "2017-02-03" @default.
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- W2582360869 date "2016-09-11" @default.
- W2582360869 modified "2023-09-27" @default.
- W2582360869 title "Use of Machine Learning Techniques for Integrating Source Data from Diverse Data Sources" @default.
- W2582360869 hasPublicationYear "2016" @default.
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