Advanced Data Mining Techniques

• Κύριοι συγγραφείς: Olson, David L. (Συγγραφέας), Delen, Dursun (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Θέματα: Business.; Operations research.; Decision making.; Information technology.; Business > Data processing.; Data mining.; Business and Management.; IT in Business.; Operation Research/Decision Theory.; Data Mining and Knowledge Discovery.

 This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated. 

 Data Mining Process -- Data Mining Methods As Tools -- Memory-Based Reasoning Methods -- Association Rules in Knowledge Discovery -- Fuzzy Sets in Data Mining -- Rough Sets -- Support Vector Machines -- Genetic Algorithm Support to Data Mining -- Performance Evaluation for Predictive Modeling -- Applications -- Applications of Methods.