Skip to content
VuFind
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
高級檢索
  • New Developments in Unsupervis...
  • 引用
  • 發送短信
  • 推薦此
  • 打印
  • 導出紀錄
    • 導出到 RefWorks
    • 導出到 EndNoteWeb
    • 導出到 EndNote
  • Permanent link
New Developments in Unsupervised Outlier Detection Algorithms and Applications /

New Developments in Unsupervised Outlier Detection Algorithms and Applications /

書目詳細資料
Main Authors: Wang, Xiaochun (Author), Wang, Xiali (Author), Wilkes, Mitch (Author)
企業作者: SpringerLink (Online service)
總結:XXI, 277 p. 138 illus., 120 illus. in color.
text
語言:英语
出版: Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
版:1st ed. 2021.
主題:
Computational intelligence.
Data mining.
Engineering > Data processing.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Data Engineering.
在線閱讀:https://doi.org/10.1007/978-981-15-9519-6
格式: 電子 圖書
  • 持有資料
  • 實物特徵
  • 書本目錄
  • 相似書籍
  • 職員瀏覽

因特網

https://doi.org/10.1007/978-981-15-9519-6

相似書籍

  • Outlier Detection: Techniques and Applications A Data Mining Perspective /
    由: Ranga Suri, N. N. R., et al.
    出版: (2019)
  • Optimization of Automated Software Testing Using Meta-Heuristic Techniques
    出版: (2022)
  • Automated Software Testing Foundations, Applications and Challenges /
    出版: (2020)
  • Proceedings of International Conference on Data Science and Applications ICDSA 2019 /
    出版: (2021)
  • Advances in Data Science and Management Proceedings of ICDSM 2021 /
    出版: (2022)