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Improving e-commerce web applications through business intelligence techniques

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Improving e-commerce web applications through business intelligence techniques/ G. Sreedhar, editor.
其他作者:	Sreedhar, G.,
出版者:	Hershey, Pennsylvania :IGI Global, : [2017],
面頁冊數:	1 online resource (xvi, 363 p.)
提要註:	"This book explores the development of E-Commerce Web Applications in view of end user accessibility and comfortability. It identifies insights of web sites for improving Business Intelligence of E-Commerce Applications and it explores how to extract and analyze useful information from large amounts of web documents using various data mining techniques"--
標題:	Electronic commerce - Computer programs. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3646-8
ISBN:	9781522536475 (ebook)

Improving e-commerce web applications through business intelligence techniques
Improving e-commerce web applications through business intelligence techniques[electronic resource] /G. Sreedhar, editor. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xvi, 363 p.)

Includes bibliographical references and index.

Chapter 1. A framework to improve performance of e-commerce websites -- Chapter 2. Identification of user preference for multi-criteria reporting in business intelligence: a case study on banking business -- Chapter 3. Botnet threats to E-commerce web applications and their detection -- Chapter 4. Secure framework for E-commerce applications in cloud environment -- Chapter 5. E-commerce business model -- Chapter 6. Search optimization to select an item across E-commerce platforms: app development quickcompare -- Chapter 7. E-commerce and its software -- Chapter 8. Security issues in E-commerce -- Chapter 9. Secure payment modes technology for E-commerce applications -- Chapter 10. Design methodology for effective user interface design for E-commerce applications -- Chapter 11. Electronic commerce and decision support systems: theories and applications -- Chapter 12. Application of opinion mining in E-commerce -- Chapter 13. Applications of social graphs: author, email, telephone using graph mining techniques.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the development of E-Commerce Web Applications in view of end user accessibility and comfortability. It identifies insights of web sites for improving Business Intelligence of E-Commerce Applications and it explores how to extract and analyze useful information from large amounts of web documents using various data mining techniques"--

ISBN: 9781522536475 (ebook)Subjects--Topical Terms:

433286
Electronic commerce
--Computer programs.

LC Class. No.: HF5548.32 / .I49 2017e

Dewey Class. No.: 658.8/72028553

Improving e-commerce web applications through business intelligence techniques
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035 $a 1071025206
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a HF5548.32 $b .I49 2017e
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245 0 0 $a Improving e-commerce web applications through business intelligence techniques $h [electronic resource] / $c G. Sreedhar, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (xvi, 363 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A framework to improve performance of e-commerce websites -- Chapter 2. Identification of user preference for multi-criteria reporting in business intelligence: a case study on banking business -- Chapter 3. Botnet threats to E-commerce web applications and their detection -- Chapter 4. Secure framework for E-commerce applications in cloud environment -- Chapter 5. E-commerce business model -- Chapter 6. Search optimization to select an item across E-commerce platforms: app development quickcompare -- Chapter 7. E-commerce and its software -- Chapter 8. Security issues in E-commerce -- Chapter 9. Secure payment modes technology for E-commerce applications -- Chapter 10. Design methodology for effective user interface design for E-commerce applications -- Chapter 11. Electronic commerce and decision support systems: theories and applications -- Chapter 12. Application of opinion mining in E-commerce -- Chapter 13. Applications of social graphs: author, email, telephone using graph mining techniques.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the development of E-Commerce Web Applications in view of end user accessibility and comfortability. It identifies insights of web sites for improving Business Intelligence of E-Commerce Applications and it explores how to extract and analyze useful information from large amounts of web documents using various data mining techniques"-- $c Provided by publisher.
650 0 $a Electronic commerce $x Computer programs. $3 433286
650 0 $2 96060 $a Data mining. $3 255525
700 1 $a Sreedhar, G., $d 1974- $e editor. $3 407951
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3646-8

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