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...