04177nam 2200625 450 99646563160331620211007192103.03-540-71080-910.1007/978-3-540-71080-6(CKB)1000000000491076(SSID)ssj0000320647(PQKBManifestationID)11232600(PQKBTitleCode)TC0000320647(PQKBWorkID)10249732(PQKB)10264794(DE-He213)978-3-540-71080-6(MiAaPQ)EBC3063088(MiAaPQ)EBC6351720(PPN)127055185(EXLCZ)99100000000049107620210215d2008 uy 0engurnn#008mamaatxtccrVisual data mining theory, techniques and tools for visual analytics /Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (editors)1st ed. 2008.Berlin, Heidelberg :Springer,[2008]©20081 online resource (X, 407 p.)Lecture Notes in Computer Science ;4404Bibliographic Level Mode of Issuance: Monograph3-540-71079-5 Includes bibliographical references and index.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.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 systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.Lecture notes in computer science ;4404.Computer graphicsData miningInformation storage and retrieval systemsComputer graphics.Data mining.Information storage and retrieval systems.006.6869Simoff Simeon J.1962-Böhlen Michael H.1964-Mazeika ArturasMiAaPQMiAaPQMiAaPQBOOK996465631603316Visual Data Mining774377UNISA