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

In: Liss 2013

Author

Listed:
  • Mengfei Chen

    (Beijing Jiaotong University)

  • Xindi Wang

    (Beijing Jiaotong University)

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.

Suggested Citation

  • Mengfei Chen & Xindi Wang, 2015. "Research of Embedded Database in Data Mining System—Taking Management of Risk in Credit Card for Example," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 123-128, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40660-7_17
    DOI: 10.1007/978-3-642-40660-7_17
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