USING DATA MINING METHODS TO SOLVE CLASSIFICATION PROBLEMS IN FINANCIAL-BANKING INSTITUTIONS

被引:10
作者
Voican, Oona [1 ]
机构
[1] Bucharest Univ Econ Studies, Dept Econ Informat & Cybernet, Bucharest, Romania
关键词
classification; data mining; finance; customer segmentation; panel data;
D O I
10.24818/18423264/54.1.20.11
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data Mining refers to the analysis of large amounts of data stored in computers. The Big Data era is already present, with current sources indicating that more data have been created over the last two years than they have been generated throughout the entire human history. Big Data involves data sets so large that traditional data analysis methods are no longer usable due to the huge amount of data. Lacking or ignoring the data structure is an extremely important aspect, even more important than size, in data analysis, transformation, innovation and value for business. It was said that there are important data about analysis rather than data themselves.
引用
收藏
页码:159 / 176
页数:18
相关论文
共 24 条
[1]  
Abdul-Muhmin AG, 2007, J FINANC SERV MARK, V12, P219, DOI 10.1057/palgrave.fsm.4760074
[2]  
Allwein E., 2002, JMLR, V1, P113
[3]  
[Anonymous], 2015, ARTIFICIAL INTELLIGE
[4]  
[Anonymous], 15 INT C MACH LEARN
[5]  
[Anonymous], 2016, Artificial Intelligence in Financial Markets Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics
[6]  
Banasiewicz A.D., 2013, Marketing database analytics: Transforming data for competitive advantage
[7]   Internet, consumer spending, and credit card balance: Evidence from US consumers [J].
Basnet, Hem C. ;
Donou-Adonsou, Ficawoyi .
REVIEW OF FINANCIAL ECONOMICS, 2016, 30 :11-22
[8]  
Cai L., 2015, DATA SCI J, V14, DOI [10.5334/djs-2015-002/print/, DOI 10.5334/DJS-2015-002/PRINT/]
[9]   Financial literacy and the demand for financial advice [J].
Calcagno, Riccardo ;
Monticone, Chiara .
JOURNAL OF BANKING & FINANCE, 2015, 50 :363-380
[10]  
Carlsson H., 2017, J FINANC COUNS PLAN, V28, P76, DOI [10.1891/1052-3073.28.1.76, DOI 10.1891/1052-3073.28.1.76]