Main description:
Turn Web data into knowledge about your customers.
This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing informationusage and transactional data from a website. A company's website is a primary point of contact with its customers and a medium in which visitor's actions are messages about who they are and what they want.
Data Mining Your Website will teach you the tools, techniques, and technologies you'll need to profile current and potential customers and predict on-line interests and behavior. You'll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers.
Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes.
The first book to apply data mining specifically to e-commerce
Learn effective methods for gathering, managing, and mining Web customer information
Use data mining to profile customers and create personalized e-commerce programs
Review quote:
...a well-written treatise on the method and value of extracting information about transactions on web sites. If readers are looking for justification to initiate data mining, the first chapter presents several good arguments that can be used to strengthen a business case study. Through the book, but especially in the final chapter about putting all the parts together, Mena's advice inserted between instruction is practical, appropriate, and obviously based on experience. In short the book is highly recommended, without reservation. - First Monday, August 200
Table of contents:
Mine2.com; What Is Data Mining?; Networks and Algorithms; Ten Steps to Mining Your Data; The Tools; The Data Components; The Providers; E-Retailing; E-Mining; appendix: Privacy Consortiums, Standards, and Legislation; Glossary
Turn Web data into knowledge about your customers.
This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing informationusage and transactional data from a website. A company's website is a primary point of contact with its customers and a medium in which visitor's actions are messages about who they are and what they want.
Data Mining Your Website will teach you the tools, techniques, and technologies you'll need to profile current and potential customers and predict on-line interests and behavior. You'll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers.
Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes.
The first book to apply data mining specifically to e-commerce
Learn effective methods for gathering, managing, and mining Web customer information
Use data mining to profile customers and create personalized e-commerce programs
Review quote:
...a well-written treatise on the method and value of extracting information about transactions on web sites. If readers are looking for justification to initiate data mining, the first chapter presents several good arguments that can be used to strengthen a business case study. Through the book, but especially in the final chapter about putting all the parts together, Mena's advice inserted between instruction is practical, appropriate, and obviously based on experience. In short the book is highly recommended, without reservation. - First Monday, August 200
Table of contents:
Mine2.com; What Is Data Mining?; Networks and Algorithms; Ten Steps to Mining Your Data; The Tools; The Data Components; The Providers; E-Retailing; E-Mining; appendix: Privacy Consortiums, Standards, and Legislation; Glossary