EJPAU 2005. Kluza A. , Jabłonowski S. BANK PRODUCT ADVISORY SYSTEM APPLYING CASE-BASED REASONING METHOD

Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.

2005
Volume 8
Issue 1

Topic:

Economics

ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES

Kluza A. , Jabłonowski S. 2005. BANK PRODUCT ADVISORY SYSTEM APPLYING CASE-BASED REASONING METHOD, EJPAU 8(1), #06.
Available Online: http://www.ejpau.media.pl/volume8/issue1/abs-06.html

BANK PRODUCT ADVISORY SYSTEM APPLYING CASE-BASED REASONING METHOD

Andrzej Kluza, Stanisław Jabłonowski
Department of Econometrics and Informatics, Warsaw Agricultural University, Poland

ABSTRACT

Case-Base Reasoning (CBR) method utilizes a base of implicit knowledge, included in stored cases. The analytical subset of CBR applications covers factual advisory systems, mentioned in the paper. A presented bank product advanced search engine build by authors is contained in this class also. Banking product extension is a source of widespread information and advertisement, but many Internet portals have deficient search engines comparing to complexity of bank product selection task. Advantages of described application are setting personal preferences and weights, which can be used to delimit personal preferences. Real world data of 142 bank accounts of 27 Polish banks are used as records in the case base. CBR method includes variety of result adaptation scenarios. Presented actual searches with adaptation of results show how to apply this phase of retrieval.

Key words: Case�Based Reasoning, Artificial Intelligence, bank products.

Andrzej Kluza
Department of Econometrics and Informatics,
Warsaw Agricultural University, Poland
Nowoursynowska 161, 02-787 Warsaw, Poland
email: ak@pancake.sggw.waw.pl

Stanisław Jabłonowski
Department of Econometrics and Informatics,
Warsaw Agricultural University, Poland
Nowoursynowska 161, 02-787 Warsaw, Poland
email: sjablonowski@mors.sggw.waw.pl

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed 'Discussions' and hyperlinked to the article.