Advances in Knowledge Discovery in Databases
Language: English
Published by Springer, 2015
Series: Book 54 of 188 - Intelligent Systems Reference Library
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9783319132112
- Title
- Advances in Knowledge Discovery in Databases
- Author
- Jhimli Adhikari
- Publisher
- Springer
- Publication year
- 2015
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319132113
- ISBN 13
- 9783319132112
- Item weight
- 694 grams
- Dimensions
- 241x160x27 mm
- Series
- Book 54 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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