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Titlebook: Outlier Analysis; Charu C. Aggarwal Textbook 2017Latest edition Springer International Publishing AG 2017 Outlier Analysis.Anomaly detecti

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发表于 2025-3-21 17:27:49 | 显示全部楼层 |阅读模式
书目名称Outlier Analysis
编辑Charu C. Aggarwal
视频video
概述Provides all the fundamental algorithms for outlier analysis in great detail including those for advanced data types, including specific insights into when and why particular algorithms work effective
图书封面Titlebook: Outlier Analysis;  Charu C. Aggarwal Textbook 2017Latest edition Springer International Publishing AG 2017 Outlier Analysis.Anomaly detecti
描述This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories:.Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods..Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data..Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner..The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neu
出版日期Textbook 2017Latest edition
关键词Outlier Analysis; Anomaly detection; Outlier detection; Novelty detection; Outlier ensembles; Temporal ou
版次2
doihttps://doi.org/10.1007/978-3-319-47578-3
isbn_softcover978-3-319-83772-7
isbn_ebook978-3-319-47578-3
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Charu C. Aggarwal types can be reduced to three principles: ciliary and ameboid movements and muscle contraction..The ultrastructure of all kinds of cilia is very similar from single cell organisms to highly specialized cells of the human body, e.g., ciliary respiratory epithelium. As a rule, ciliary movement is cau
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Charu C. Aggarwalängen auftreten, sondern vor allem weil sie miteinander in einer engen Wechselbeziehung stehen. Diese beiden Grenzwertbildungen, das . und der ., wurden an Hand vereinzelter Beispiele schon seit langer Zeit, z. T. sogar schon im klassischen Altertum betrachtet ; aber erst die Tatsache, daß man ihren
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Charu C. Aggarwalängen auftreten, sondern vor allem weil sie miteinander in einer engen Wechselbeziehung stehen. Diese beiden Grenzwertbildungen, das . und der ., wurden an Hand vereinzelter Beispiele schon seit langer Zeit, z. T. sogar schon im klassischen Altertum betrachtet ; aber erst die Tatsache, daß man ihren
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Linear Models for Outlier Detection,f prediction and anomaly detection are intimately related. Outliers are, after all, values that deviate from expected (or .) values on the basis of a particular model. Linear models focus on the use of interattribute dependencies to achieve this goal. In the classical statistics literature, this pro
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