外れ値検出のデータマイニング手法と応用<br>Outlier Detection: Techniques and Applications〈1st ed. 2019〉 : A Data Mining Perspective

個数:1
  • 電子書籍
  • ポイントキャンペーン

外れ値検出のデータマイニング手法と応用
Outlier Detection: Techniques and Applications〈1st ed. 2019〉 : A Data Mining Perspective

  • 著者名:Ranga Suri, N. N. R./Murty M, Narasimha/Athithan, G.
  • 価格 ¥27,222 (本体¥24,748)
  • Springer(2019/01/10発売)
  • 3月の締めくくり!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/31)
  • ポイント 7,410pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9783030051259
  • eISBN:9783030051273

ファイル: /

Description

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.  


Table of Contents

Introduction.- Outlier Detection.- Research Issues in Outlier Detection.- Computational Preliminaries.- Outlier Detection in Categorical Data.- Outliers in High Dimensional Data.