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An adaptive model for customer targeting (Record no. 1614)

MARC details
000 -LEADER
fixed length control field	03285nas\|a2200409 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20260817161527.0
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fixed length control field	081129s2007 th uu\|m rtt 0\| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number	.b12042857
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number	AIT Thesis no.IM-07-09
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name	Theechat Chatvijit
245 13 - TITLE STATEMENT
Title	An adaptive model for customer targeting
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	Pathum Thani, Thailand :
Name of publisher, distributor, etc.	Asian Institute of Technology,
Date of publication, distribution, etc.	2007
300 ## - PHYSICAL DESCRIPTION
Extent	116 p. :
Other physical details	ill.
490 1# - SERIES STATEMENT
Series statement	Thesis ;
Volume/sequential designation	no. IM-07-09
500 ## - GENERAL NOTE
General note	A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note	Thesis (M.Eng.) - Asian Institute of Technology, 2007
520 ## - SUMMARY, ETC.
Summary, etc.	Today, there are intensive competitions in marketing world. Marketers have to proactively run their businesses. Customer targeting is an important marketing decision that companies should pay attention to. Using information systems to support decision-making to shortlist potential buyers for certain products based on previous customer profiles or customer's intrinsic values is one way in targeting customer. Therefore, because of the dynamic behavior of customers, there is a need to respond to such changes immediately. Artificial immune recognition system (AIRS) classifier using value difference metric (VDM) as a distance metric has been created to predict whether customer will buy an insurance policy. Adaptive algorithm was proposed in order to respond to such dynamic change of customers. It can partially retrain or update classifier without starting training from scratch. Its performance was compared to the original training and cascade-correlation network. Results show that it can work well on continuous attribute type. Furthermore, fractal dimension reduction and Grassberger-Procaccia's algorithms were used together for attribute selection to gain predictive power of classifier. Moreover, difference between buyer and non-buyer in each attribute of profiles was also visualized to provide better understanding for marketers and to support marketing strategy in the future
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Target marketing
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Vatcharaporn Esichaikul,
Relator term	Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Voratas Kachitvichyanukul,
Relator term	Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Phan, Minh Dung,
Relator term	Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	RTG Fellowship,
Relator term	Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	Asian Institute of Technology.
Title of a work	Thesis ;
Volume/sequential designation	no. IM-07-09
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified	Full-Text
Uniform Resource Identifier	<a href="http://203.159.5.9/ait-thesis/detail.php?q=B10873">http://203.159.5.9/ait-thesis/detail.php?q=B10873</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	40-Archives
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Holdings
Not for loan	Home library	Current library	Shelving location	Date acquired	Cost, normal purchase price	Full call number	Barcode	Date last seen	Copy number	Price effective from	Koha item type
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	AIT Publications	17/08/2026	50.00	AIT Thesis no.IM-07-09	30050120731327	17/08/2026	1	17/08/2026	20-AIT Publication
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	AIT Publications	17/08/2026	50.00	AIT Thesis no.IM-07-09	30050120731335	17/08/2026	2	17/08/2026	20-AIT Publication
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	Archives	17/08/2026		AIT Thesis no.IM-07-09	30050160072822	17/08/2026	1	17/08/2026	40-Archives

An adaptive model for customer targeting (Record no. 1614)

AIT

Asian Institute of Technology Library