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.
• Φυσική περιγραφή: X, 407 p. online resource.
• ISBN: 9783540710806
• ISSN: 0302-9743 ;

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.