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Data mining : theory, methodology, techniques, and applications / / Graham J. Williams, Simeon J. Simoff (eds.)
| Data mining : theory, methodology, techniques, and applications / / Graham J. Williams, Simeon J. Simoff (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2006 |
| Descrizione fisica | 1 online resource (XI, 331 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
WilliamsGraham J
SimoffSimeon J. <1962-> |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
State-of-the-art survey Lecture notes in computer science,Lecture notes in artificial intelligence |
| Soggetto topico | Data mining |
| ISBN | 3-540-32548-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. State-of-the-art in research -- pt. 2. State-of-the-art in applications. |
| Record Nr. | UNINA-9910483435503321 |
| Berlin ; ; New York, : Springer, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Visual data mining : theory, techniques and tools for visual analytics / / Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (editors)
| Visual data mining : theory, techniques and tools for visual analytics / / Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (X, 407 p.) |
| Disciplina | 006.6869 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer graphics
Data mining Information storage and retrieval systems |
| ISBN | 3-540-71080-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Leukemia -- Towards Effective Visual Data Mining with Cooperative Approaches. |
| Record Nr. | UNISA-996465631603316 |
| Berlin, Heidelberg : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Visual data mining : theory, techniques and tools for visual analytics / / Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (editors)
| Visual data mining : theory, techniques and tools for visual analytics / / Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (X, 407 p.) |
| Disciplina | 006.6869 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer graphics
Data mining Information storage and retrieval systems |
| ISBN | 3-540-71080-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Leukemia -- Towards Effective Visual Data Mining with Cooperative Approaches. |
| Record Nr. | UNINA-9910767508203321 |
| Berlin, Heidelberg : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||