Animesh Adhikari, Jhimli Adhikari

Advances in Knowledge Discovery in Databases

• Broschiertes Buch

Produktbeschreibung

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 measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.

Produktdetails

• Intelligent Systems Reference Library 79
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-36606-7
• Softcover reprint of the original 1st ed. 2015
• Seitenzahl: 388
• Erscheinungstermin: 24. September 2016
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 586g
• ISBN-13: 9783319366067
• ISBN-10: 3319366068
• Artikelnr.: 45996630

Inhaltsangabe

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.