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Data quality mining implementation on skk migas sistem operasi terpadu (sot) data

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Skk migas implemented sot (sistem operasi terpadu) to allow skk migas system to retrieve specific information from psc contractor data source within integrated online system. It is expected that at the completion of sot program, there will be huge transactional data that will be exchanged on daily basis, and without data mining, it will be extremely difficult to perform analysis. Meanwhile, this research will focus on poor data quality that may be resulted from poor data acquisition process, and this research objective is to examine whether data mining techniques can improve sot data quality or not by utilizing crisp-dm methodology. This research found that sot data contain some quality issues including missing values, negative values, useless attributes, and outliers that may affect analysis result. Finally, this research proves that data quality mining processes and algorithms can improve sot data quality, which expected to contribute to skk migas data analysis improvement.

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Availability

M00286

(Rack Thesis)

Available

Detail Information

Series Title

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Call Number

286

Publisher

: Swiss German University., 2014

Collation

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Language

English

ISBN/ISSN

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Classification

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Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

MIT
data quality mining
dqm
skk migas
crisp-dm
missing values
outliers

Specific Detail Info

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Statement of Responsibility

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