大葉大學圖書館 |

Advances in knowledge discovery in databases[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.312
書名/作者:	Advances in knowledge discovery in databases/ by Animesh Adhikari, Jhimli Adhikari.
作者:	Adhikari, Animesh.
其他作者:	Adhikari, Jhimli.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xv, 370 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Data mining.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Data Mining and Knowledge Discovery.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319132129 (electronic bk.)
ISBN:	9783319132112 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-13212-9

Advances in knowledge discovery in databases[electronic resource] /
Adhikari, Animesh.

Advances in knowledge discovery in databases[electronic resource] /by Animesh Adhikari, Jhimli Adhikari. - Cham :Springer International Publishing :2015. - xv, 370 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.791868-4394 ;. - Intelligent systems reference library ;v.24..

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 (electronic bk.)

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

337740
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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