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Advances in Knowledge Discovery in Databases

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Knowledge Discovery in Databases/ by Animesh Adhikari, Jhimli Adhikari.
作者:	Adhikari, Animesh.
其他作者:	Adhikari, Jhimli.
面頁冊數:	XV, 370 p. 136 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-13212-9
ISBN:	9783319132129

Advances in Knowledge Discovery in Databases
Adhikari, Animesh.

Advances in Knowledge Discovery in Databases[electronic resource] /by Animesh Adhikari, Jhimli Adhikari. - 1st ed. 2015. - XV, 370 p. 136 illus.online resource. - Intelligent Systems Reference Library,791868-4394 ;. - Intelligent Systems Reference Library,67.

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.

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. .

ISBN: 9783319132129

Standard No.: 10.1007/978-3-319-13212-9doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Knowledge Discovery in Databases
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