Advances in Knowledge Discovery in Databases

• Κύριοι συγγραφείς: Adhikari, Animesh (Συγγραφέας), Adhikari, Jhimli (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Intelligent Systems Reference Library, 79
• Θέματα: Engineering.; Data mining.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).

This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association mea...

Πίνακας περιεχομένων:

• Introduction
• Synthesizing conditional patterns in a database
• Synthesizing arbitrary Boolean expressions induced by frequent itemsets
• Measuring association among items in a database
• Mining association rules induced by item and quantity purchased
• Mining patterns different related databases
• Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources
• Clustering items in time-stamped databases
• Synthesizing some extreme association rules from multiple databases
• Clustering local frequency items in multiple data sources
• Mining patterns of select items in different data sources
• Mining calendar-based periodic patterns in time-stamped data
• Measuring influence of an item in time-stamped databases
• Clustering multiple databases induced by local patterns
• Enhancing quality of patterns in multiple related databases
• Concluding remarks.