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Knowledge and Information Visualization

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Cover of 'Knowledge and Information Visualization'

Table of Contents

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    Book Overview
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    Chapter 1 Visualizing Knowledge and Information: An Introduction
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    Chapter 2 Visual Queries: The Foundation of Visual Thinking
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    Chapter 3 Representational Correspondence as a Basic Principle of Diagram Design
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    Chapter 4 Node-Link Mapping Principles for Visualizing Knowledge and Information
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    Chapter 5 Tools for Representing Problems and the Knowledge Required to Solve Them
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    Chapter 6 Collaborative Knowledge Visualization for Cross-Community Learning
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    Chapter 7 Modeling Interactive, 3-Dimensional Information Visualizations Supporting Information Seeking Behaviors
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    Chapter 8 Visualizing Information in Virtual Space: Prospects and Pitfalls
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    Chapter 9 The Impact of Dimensionality and Color Coding of Information Visualizations on Knowledge Acquisition
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    Chapter 10 Digital Concept Maps for Managing Knowledge and Information
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    Chapter 11 Concept Maps: Integrating Knowledge and Information Visualization
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    Chapter 12 Comprehensive Mapping of Knowledge and Information Resources: The Case of Webster
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    Chapter 13 Towards a Framework and a Model for Knowledge Visualization: Synergies Between Information and Knowledge Visualization
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    Chapter 14 ParIS – Visualizing Ideas and Information in a Resource-Based Learning Scenario
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    Chapter 15 LEO: A Concept Map Based Course Visualization Tool for Instructors and Students
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    Chapter 16 Navigating Personal Information Repositories with Weblog Authoring and Concept Mapping
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    Chapter 17 Facilitating Web Search with Visualization and Data Mining Techniques
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    Chapter 18 The Role of Content Representations in Hypermedia Learning: Effects of Task and Learner Variables
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    Chapter 19 Supporting Self-regulated E-Learning with Visual Topic-Map-Navigation
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    Chapter 20 Information and Knowledge Visualization in Development and Use of a Management Information System (MIS) for DaimlerChrysler
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Title
Knowledge and Information Visualization
Published by
Springer Berlin Heidelberg, January 2005
DOI 10.1007/b138081
ISBNs
978-3-54-026921-2, 978-3-54-031962-7
Editors

Tergan, Sigmar-Olaf, Keller, Tanja

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%