Outlier Detection: Techniques and Applications: A Data Mining Perspective - Couverture rigide

Ranga Suri, N. N. R.; Murty M, Narasimha; Athithan, G.

 
9783030051259: Outlier Detection: Techniques and Applications: A Data Mining Perspective
Couverture rigide
ISBN 10 : 3030051250 ISBN 13 : 9783030051259
Editeur : Springer Nature Switzerland AG, 2019

Synopsis

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.


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Éditeur
Springer Nature Switzerland AG
Date d'édition
2019
Langue
anglais
ISBN 10 
3030051250
ISBN 13 
9783030051259
Reliure
Relié
Nombre de pages
236
Coordonnées du fabricant
KINESIS
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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