Visual Data Mining Theory, Techniques and Tools for Visual Analytics /
The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a sys...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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Edición: | 1st ed. 2008. |
Colección: | Information Systems and Applications, incl. Internet/Web, and HCI ;
4404 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Visual Data Mining: An Introduction and Overview
- Visual Data Mining: An Introduction and Overview
- 1 - Theory and Methodologies
- The 3DVDM Approach: A Case Study with Clickstream Data
- Form-Semantics-Function - A Framework for Designing Visual Data Representations for Visual Data Mining
- A Methodology for Exploring Association Models
- Visual Exploration of Frequent Itemsets and Association Rules
- Visual Analytics: Scope and Challenges
- 2 - Techniques
- Using Nested Surfaces for Visual Detection of Structures in Databases
- Visual Mining of Association Rules
- Interactive Decision Tree Construction for Interval and Taxonomical Data
- Visual Methods for Examining SVM Classifiers
- Text Visualization for Visual Text Analytics
- Visual Discovery of Network Patterns of Interaction between Attributes
- Mining Patterns for Visual Interpretation in a Multiple-Views Environment
- Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships
- Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data
- Context Visualization for Visual Data Mining
- Assisting Human Cognition in Visual Data Mining
- 3 - Tools and Applications
- Immersive Visual Data Mining: The 3DVDM Approach
- DataJewel: Integrating Visualization with Temporal Data Mining
- A Visual Data Mining Environment
- Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia
- Towards Effective Visual Data Mining with Cooperative Approaches.