Share

Identification of Outliers

2013-04-17 Science
Download Identification of Outliers PDF Online Free

Author :
Release : 2013-04-17
Genre : Science
Kind : eBook
Book Rating : 944/5 ( reviews)

GET EBOOK


Book Synopsis Identification of Outliers by : D. Hawkins

Download or read book Identification of Outliers written by D. Hawkins. This book was released on 2013-04-17. Available in PDF, EPUB and Kindle. Book excerpt: The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results are, however, scattered amongst many journal articles, and for some time there has been a clear need to bring them together in one place. That was the original intention of this monograph: but during execution it became clear that the existing theory of outliers was deficient in several areas, and so the monograph also contains a number of new results and conjectures. In view of the enormous volume ofliterature on the outlier problem and its cousins, no attempt has been made to make the coverage exhaustive. The material is concerned almost entirely with the use of outlier tests that are known (or may reasonably be expected) to be optimal in some way. Such topics as robust estimation are largely ignored, being covered more adequately in other sources. The numerous ad hoc statistics proposed in the early work on the grounds of intuitive appeal or computational simplicity also are not discussed in any detail.

Outlier Analysis

2016-12-10 Computers
Download Outlier Analysis PDF Online Free

Author :
Release : 2016-12-10
Genre : Computers
Kind : eBook
Book Rating : 789/5 ( reviews)

GET EBOOK


Book Synopsis Outlier Analysis by : Charu C. Aggarwal

Download or read book Outlier Analysis written by Charu C. Aggarwal. This book was released on 2016-12-10. Available in PDF, EPUB and Kindle. Book excerpt: 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, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

Principles of Data Mining and Knowledge Discovery

1999-09-01 Computers
Download Principles of Data Mining and Knowledge Discovery PDF Online Free

Author :
Release : 1999-09-01
Genre : Computers
Kind : eBook
Book Rating : 904/5 ( reviews)

GET EBOOK


Book Synopsis Principles of Data Mining and Knowledge Discovery by : Jan Zytkow

Download or read book Principles of Data Mining and Knowledge Discovery written by Jan Zytkow. This book was released on 1999-09-01. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Volume 16: How to Detect and Handle Outliers

1993-01-08 Business & Economics
Download Volume 16: How to Detect and Handle Outliers PDF Online Free

Author :
Release : 1993-01-08
Genre : Business & Economics
Kind : eBook
Book Rating : 607/5 ( reviews)

GET EBOOK


Book Synopsis Volume 16: How to Detect and Handle Outliers by : Boris Iglewicz

Download or read book Volume 16: How to Detect and Handle Outliers written by Boris Iglewicz. This book was released on 1993-01-08. Available in PDF, EPUB and Kindle. Book excerpt: Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments. Available only as an E-Book.

Secondary Analysis of Electronic Health Records

2016-09-09 Medical
Download Secondary Analysis of Electronic Health Records PDF Online Free

Author :
Release : 2016-09-09
Genre : Medical
Kind : eBook
Book Rating : 429/5 ( reviews)

GET EBOOK


Book Synopsis Secondary Analysis of Electronic Health Records by : MIT Critical Data

Download or read book Secondary Analysis of Electronic Health Records written by MIT Critical Data. This book was released on 2016-09-09. Available in PDF, EPUB and Kindle. Book excerpt: This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

You may also like...