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Outlier Analysis Epub Þ 466pages

Reader Outlier Analysis

Outlier Analysis Epub Þ 466pages å ❰KINDLE❯ ❁ Outlier Analysis Author Charu C. Aggarwal – Feedmarkformulate.co.uk 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 compu This Alysis Some guidance is also provided for the practitionerThe second edition of this book isdetailed 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 neural networks outlier ensembles time series methods and subspace methods It is written as a textbook and can be used for classroom teachin

Epub ´ Outlier Analysis ð Charu C. Aggarwal

Probabilistic and statistical methods linear methods proximity based methods high dimensional subspace methods ensemble methods and supervised methodsDomain specific methods Chapters 8 through 12 discuss outlier detection algorithms for various domains of data such as text categorical data time series data discrete seuence data spatial data and network dataApplications Chapter 13 is devoted to various applications of outlier an

Charu C. Aggarwal ð Outlier Analysis Epub

Outlier AnalysisThis 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 categoriesBasic algorithms Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis including