Research of Embedded Database in Data Mining System—Taking Management of Risk in Credit Card for Example

Mengfei Chen () and Xindi Wang ()
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Mengfei Chen: Beijing Jiaotong University
Xindi Wang: Beijing Jiaotong University

A chapter in LISS 2013, 2015, pp 123-128 from Springer

Abstract: Abstract At present, the most of data mining system are independent from database system, and data loading, data conversing and algorithm operating will cost much time. Aiming at how to manage the source data, intermediate data and result data in the process of data mining effectively, the view of embedding a database into data mining system is put forward innovatively in this paper. Analyze the reason of using embedded database in data mining system, then embed Derby database into data mining system in Eclipse plug-in form. It ensures good portability and improves the efficiency of data mining greatly. The embedded data mining system and un-embedded data mining system are used for data mining respectively, making use of two typical data mining algorithms in the application of managing credit card risk to verify the advantage of embedded database in data mining.

Keywords: Embedded database; Data mining; Credit card; Risk management (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_17

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DOI: 10.1007/978-3-642-40660-7_17

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