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Applying optimization techniques to ...

Dutta, Kaushik.

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Applying optimization techniques to improve E-business performance.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applying optimization techniques to improve E-business performance./
Author:	Dutta, Kaushik.
Description:	142 p.
Notes:	Director: Anindya Datta.
Contained By:	Dissertation Abstracts International64-03B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3084952

Applying optimization techniques to improve E-business performance.
Dutta, Kaushik.

Applying optimization techniques to improve E-business performance. - 142 p.

Director: Anindya Datta.

Thesis (Ph.D.)--Georgia Institute of Technology, 2003.

Two important aspects of any e-business are (1) providing <italic> personalized</italic> interaction with a customer, and (2) improving the <italic>quality of service</italic> that visitors receive at the e-business site from a site performance perspective. This dissertation will propose approaches to address, in part, the two above-mentioned aspects.Subjects--Topical Terms:

626642
Computer Science.

Applying optimization techniques to improve E-business performance.
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035 $a AAI3084952
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100 1 $a Dutta, Kaushik. $3 1250971
245 1 0 $a Applying optimization techniques to improve E-business performance.
300 $a 142 p.
500 $a Director: Anindya Datta.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1332.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 2003.
520 $a Two important aspects of any e-business are (1) providing <italic> personalized</italic> interaction with a customer, and (2) improving the <italic>quality of service</italic> that visitors receive at the e-business site from a site performance perspective. This dissertation will propose approaches to address, in part, the two above-mentioned aspects.
520 $a 1. <italic>Discovering critical edge sequences in e-commerce catalogs </italic>. E-business sites allow collection of vast amounts of <italic>navigational data</italic>. These massive data stores can be used to discover mostly traversed segments (Critical Edge Sequences, CES) within the catalogs. CESs can be used to increase the effectiveness of delivering targeted personalized content like e-coupons and advertisements for doing cross-sell and up-sale to visitors of the site. It can also be used to improve site performance, site management and gather additional knowledge of customer behavior patterns on the site. Traditional web mining strategies to find CESs is expensive in both space and time. In this work we propose an approximate algorithm to discover CESs. The method is both space efficient and accurate, providing a vast reduction in the storage requirement with a minimum impact on accuracy.
520 $a 2. <italic>Adding performance and scalability to e-business applications </italic>. E-business activities are growing rapidly in terms of both use and infrastructure requirements. Unfortunately, demand is outpacing the capacity of the infrastructure, as evidenced by unacceptably long response times and the ever-increasing need to expand capacity.
520 $a Caching is a widespread approach to resolving such scalability and performance problems in e-business infrastructures. Within the object-oriented framework of an e-business application, objects can be cached at various layers of the infrastructure. In such a scenario, the decision of <italic>object to cache </italic> is typically made in an ad-hoc fashion. We propose a systematic model for caching objects in e-business sites. Specifically, our work consists of three parts: (a) a solution of the model; (b) a set of efficient, practical rules of thumb and heuristics that can be easily applied by a site architect; and (c) an analysis of the performance benefit of applying such a model.
590 $a School code: 0078.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Operations Research. $3 626629
690 $a 0790
690 $a 0796
690 $a 0984
710 2 0 $a Georgia Institute of Technology. $3 696730
773 0 $t Dissertation Abstracts International $g 64-03B.
790 $a 0078
790 1 0 $a Datta, Anindya, $e advisor
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3084952