Improving E-Commerce Web Applications Through Business Intelligence Techniques

  • 7h 3m
  • G. Sreedhar (ed)
  • IGI Global
  • 2018

As the Internet becomes increasingly interconnected with modern society, the transition to online business has developed into a prevalent form of commerce. While there exist various advantages and disadvantages to online business, it plays a major role in contemporary business methods.

Improving E-Commerce Web Applications Through Business Intelligence Techniques provides emerging research on the core areas of e-commerce web applications. While highlighting the use of data mining, search engine optimization, and online marketing to advance online business, readers will learn how the role of online commerce is becoming more prevalent in modern business. This book is an important resource for vendors, website developers, online customers, and scholars seeking current research on the development and use of e-commerce.

About the Editor

Dr. G. Sreedhar is working as an Associate Professor in the Department of Computer Science, Rashtiya Sanskrit Vidyapeetha (Deemed University), Tirupati, India since 2001. G. Sreedhar received his Ph.D in Computer Science and Technology from Sri Krishnadevaraya University, Anantapur, India in the year 2011. He has over 15 years of experience in teaching and research in the field of Computer Science. He has published more than 15 research papers related to web engineering in reputed international journals. He has published 4 books from reputed international publications and he has presented more than 15 research papers in various national and international conferences. He has handled research projects on computer science funded by the University Grants Commission, Government of India. He is a member of various professional bodies like the academic council, the board of studies and editorial board member in various international journals in the field of computer science, Information Technology and other related fields. He has proven knowledge in the fields of Computer Science and allied research areas.

In this Book

  • A Framework to Improve Performance of E-Commerce Websites
  • Identification of User Preference for Multi-Criteria Reporting in Business Intelligence: A Case Study on Banking Business
  • Botnet Threats to E-Commerce Web Applications and Their Detection
  • Secure Framework for E-Commerce Applications in Cloud Environment
  • E-Commerce Business Model
  • Search Optimization to Select an Item Across E-Commerce Platforms: App Development – QuickCompare
  • E-Commerce and Its Software
  • Security Issues in E-Commerce
  • Secure Payment Modes Technology for E-Commerce Applications
  • Design Methodology for Effective User Interface Design for E-Commerce Applications
  • Electronic Commerce and Decision Support Systems: Theories and Applications
  • Application of Opinion Mining in E-Commerce
  • Applications of Social Graphs: Author, Email, Telephone Using Graph Mining Techniques