Association Rule Hiding for Data Mining

• Κύριοι συγγραφείς: Gkoulalas-Divanis, Aris (Συγγραφέας), Verykios, Vassilios S. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2010.
• Σειρά: Advances in Database Systems, 41
• Θέματα: Computer science.; Computer software > Reusability.; Data structures (Computer science).; Algorithms.; Database management.; Artificial intelligence.; Computer Science.; Database Management.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; Data Structures, Cryptology and Information Theory.; Algorithm Analysis and Problem Complexity.; Performance and Reliability.

Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique on data mining, which...