A database with enterprise application for mining astronomical data obtained by MOA : a thesis submitted in partial fulfilment of the requirements for the degree of the Master of Information Science in Computer Science, Massey University at Albany, Auckland, New Zealand

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dc.contributor.authorXu, Huawei
dc.date.accessioned2017-11-13T02:06:53Z
dc.date.available2017-11-13T02:06:53Z
dc.date.issued2007
dc.description.abstractThe MOA (Microlensing Observations in Astrophysics) Project is one of a new generation of modern astronomy endeavours that generates huge volumes of data. These have enormous scientific data mining potential. However, it is common for astronomers to deal with millions and even billions of records. The challenge of how to manage these large data sets is an important case for researchers. A good database management system is vital for the research. With the modern observation equipments used, MOA suffers from the growing volume of the data and a database management solution is needed. This study analyzed the modern technology for database and enterprise application. After analysing the data mining requirements of MOA, a prototype data management system based on MVC pattern was developed. Furthermore, the application supports sharing MOA findings and scientific data on the Internet. It was tested on a 7GB subset of achieved MOA data set. After testing, it was found that the application could query data in an efficient time and support data mining.en_US
dc.identifier.urihttp://hdl.handle.net/10179/12396
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectMicrolensing (Astrophysics)en_US
dc.subjectData processingen_US
dc.subjectAstrophysicsen_US
dc.subjectEnterprise application integration (Computer systems)en_US
dc.subjectDatabase designen_US
dc.subjectMicrolensing Observations in Astrophysics (Program)en_US
dc.titleA database with enterprise application for mining astronomical data obtained by MOA : a thesis submitted in partial fulfilment of the requirements for the degree of the Master of Information Science in Computer Science, Massey University at Albany, Auckland, New Zealanden_US
dc.typeThesisen_US
massey.contributor.authorXu, Huawei
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Information Science (M. Inf. Sc.)en_US
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