GEM2509



Data Quality and Fuzzy Logic

This module introduces students to the concept of data quality, and its multiple sub-dimensions such as source reputation, completeness, accuracy and timeliness. Students will learn evaluation methods, especially with the use of fuzzy logic. Students will learn how fuzzy functions can be collected through surveys, and fuzzy averaged for an estimate of data quality. They will also understand the Internet’s social setting where electronic word of mouth and recommendation agent can be utilized for data quality estimates.

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