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The Australian National University

Data Quality Assessment

Honours, Masters, PhD
Data Quality Assessment

A smaller data-mining project is the Data Quality Assessment Project (V,H,MPh) . This is more of a software-oriented project, creating a set of rules and a procedure for checking the quality of the data and plasma parameters recorded each time we pulse H-1. Our data are numerous and diverse, and expensive to acquire, so if a data set is flawed, we would like to know quickly, to save wasting resources, and avoid the need to repeat the data taking. The set of rules or classifications that define ‘good’ data should be developed from two directions: a/ experts write some simple rules, and then fine tune them on old data, and new data is at arrives. b/ experts classify good and bad data, pulse by pulse and machine learning techniques are used to discover new rules that define bad data.

Contacts:
A/Prof Boyd Blackwell
Dr David Pretty

Updated:  01 July 2010/Responsible Officer:  H-1 Facility Manager /Page Contact:  H-1 Website Administrator