Mining the talk : unlocking the business value in unstructured information /
Leverage Unstructured Data to Become More Competitive, Responsive, and Innovative In Mining the Talk, two leading-edge IBM researchers introduce a revolutionary new approach to unlocking the business value hidden in virtually any form of unstructured data-from word processing documents to websites,...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Upper Saddle River, N.J. :
IBM Press,
2007.
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Ch. 1. Introduction
- A Short Story ... "The Contest"
- In the Beginning ...
- The Thesis
- The Business Context for Unstructured Information Mining
- Capturing Business Objectives and Domain Expertise
- A Common Analytical Methodology
- Applications for Mining the Talk
- The Transformation Process
- Summary
- Endnotes
- Ch. 2. Mining Customer Interactions
- A Brief Analogy to the Physical World
- Transactions Versus Interactions
- Business Drivers for Interactional Analysis
- Characteristics of Interactional Information
- What Can We Learn from Customer Interactions?
- The Mining the Talk Process for Customer Interactions
- Establishing a Continuous Process
- Customer Interactions Examples
- Summary
- Endnotes
- Ch. 3. Mining the Voice of the Customer
- Market Research vs. Mining the VoC
- Business Drivers for VoC Mining
- Characteristics of VoC Information
- What Can VoC Mining Teach Us?
- Stages of the VoC Mining Process
- Making VoC Mining an Ongoing Concern
- Making It Real: Detailed Examples
- Summary
- Endnotes
- Ch. 4. Mining the Voice of the Employee
- Business Drivers
- The Jam: Taking Corporate Communication to a New Level
- Stages of Mining the Jam
- Making Jams a Part of the Business
- Case Studies
- The Future of Jamming and Mining the Talk
- Summary
- Endnotes
- Ch. 5. Mining to Improve Innovation
- Business Drivers of Innovation Mining
- Characteristics of Innovation Information
- What Can Innovation Mining Teach Us?
- The Innovation Mining Process
- Making Innovation Mining an Ongoing Concern
- The Innovation Mining Process in Action: Finding the Most Relevant Patents in a Large Portfolio
- Research for a New Product: Mars Snackfood Division
- Summary
- Endnotes
- Ch. 6. Mining to See the Future
- How Can Unstructured Data Help Us to See the Future?
- Business Drivers of Future Mining
- Characteristics of Future-Oriented Data Sets
- Stages of Mining to See the Future
- Making Future Mining an Ongoing Concern
- Examples of Mining the Talk to See the Future
- Summary
- Endnotes
- Ch. 7. Future Applications
- Evaluating the Effectiveness of Talk on the Reader
- You Are What You Read
- Taxonomies as Knowledge Repositories
- Some Musings on a New Discipline in Mining the Talk
- Summary
- Final Words
- Endnote
- App. The IBM Unstructured Information Modeler Users Manual
- Introduction
- Installation
- Starting IBM Unstructured Information Modeler
- The IBM Unstructured Information Modeler Classification Process
- Interpreting IBM Unstructured Information Modeler Views
- IBM Unstructured Information Modeler Menus, Buttons, and Other Commands.