Visual Data Mining Theory, Techniques and Tools for Visual Analytics /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Simoff, Simeon J. (Επιμελητής έκδοσης), Böhlen, Michael H. (Επιμελητής έκδοσης), Mazeika, Arturas (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 4404
• Θέματα: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Computer graphics.; Computer Science.; Data Mining and Knowledge Discovery.; Computer Graphics.; Database Management.; Information Storage and Retrieval.

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...

Πίνακας περιεχομένων:

• 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.