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Visual Data Mining

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Cover of 'Visual Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Visual Data Mining: An Introduction and Overview
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    Chapter 2 The 3DVDM Approach: A Case Study with Clickstream Data
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    Chapter 3 Form-Semantics-Function – A Framework for Designing Visual Data Representations for Visual Data Mining
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    Chapter 4 A Methodology for Exploring Association Models
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    Chapter 5 Visual Exploration of Frequent Itemsets and Association Rules
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    Chapter 6 Visual Analytics: Scope and Challenges
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    Chapter 7 Using Nested Surfaces for Visual Detection of Structures in Databases
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    Chapter 8 Visual Mining of Association Rules
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    Chapter 9 Interactive Decision Tree Construction for Interval and Taxonomical Data
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    Chapter 10 Visual Methods for Examining SVM Classifiers
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    Chapter 11 Text Visualization for Visual Text Analytics
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    Chapter 12 Visual Discovery of Network Patterns of Interaction between Attributes
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    Chapter 13 Mining Patterns for Visual Interpretation in a Multiple-Views Environment
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    Chapter 14 Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships
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    Chapter 15 Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data
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    Chapter 16 Context Visualization for Visual Data Mining
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    Chapter 17 Assisting Human Cognition in Visual Data Mining
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    Chapter 18 Immersive Visual Data Mining: The 3DVDM Approach
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    Chapter 19 DataJewel: Integrating Visualization with Temporal Data Mining
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    Chapter 20 A Visual Data Mining Environment
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    Chapter 21 Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia
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    Chapter 22 Towards Effective Visual Data Mining with Cooperative Approaches
Attention for Chapter 13: Mining Patterns for Visual Interpretation in a Multiple-Views Environment
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Chapter title
Mining Patterns for Visual Interpretation in a Multiple-Views Environment
Chapter number 13
Book title
Visual Data Mining
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-71080-6_13
Book ISBNs
978-3-54-071079-0, 978-3-54-071080-6
Authors

José F. RodriguesJr., Agma J. M. Traina, Caetano TrainaJr., José F. Rodrigues, Caetano Traina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
France 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Professor 4 31%
Researcher 2 15%
Student > Bachelor 2 15%
Student > Ph. D. Student 2 15%
Other 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 54%
Environmental Science 1 8%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Social Sciences 1 8%
Other 1 8%
Unknown 1 8%