Outliers

Outliers
Author: Malcolm Gladwell
Publsiher: Hachette UK
Total Pages: 320
Release: 2008-11-18
ISBN: 0316040347
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Outliers Book Excerpt:

From the bestselling author of The Bomber Mafia, learn what sets high achievers apart—from Bill Gates to the Beatles—in this seminal work from "a singular talent" (New York Times Book Review). In this stunning book, Malcolm Gladwell takes us on an intellectual journey through the world of "outliers"—the best and the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different? His answer is that we pay too much attention to what successful people are like, and too little attention to where they are from: that is, their culture, their family, their generation, and the idiosyncratic experiences of their upbringing. Along the way he explains the secrets of software billionaires, what it takes to be a great soccer player, why Asians are good at math, and what made the Beatles the greatest rock band. Brilliant and entertaining, Outliers is a landmark work that will simultaneously delight and illuminate.

Identification of Outliers

Identification of Outliers
Author: D. Hawkins
Publsiher: Springer Science & Business Media
Total Pages: 188
Release: 2013-04-17
ISBN: 9401539944
Category: Science
Language: EN, FR, DE, ES & NL

Identification of Outliers 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.

Outliers in Control Engineering

Outliers in Control Engineering
Author: Paweł D. Domański,YangQuan Chen,Maciej Ławryńczuk
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 272
Release: 2022-03-07
ISBN: 3110729121
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Outliers in Control Engineering Book Excerpt:

Outliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc.

Book Review Outliers by Malcolm Gladwell

Book Review  Outliers by Malcolm Gladwell
Author: 50MINUTES,
Publsiher: 50Minutes.com
Total Pages: 54
Release: 2019-04-04
ISBN: 280801726X
Category: Psychology
Language: EN, FR, DE, ES & NL

Book Review Outliers by Malcolm Gladwell Book Excerpt:

It can be hard for busy professionals to find the time to read the latest books. Stay up to date in a fraction of the time with this concise guide. Outliers: The Story of Success is an engaging, thought-provoking look at the external factors that can determine an individual’s personal success. Through a series of carefully selected anecdotes about highly successful individuals, Malcolm Gladwell sets out to disprove the myth of the self-made man by illustrating the opportunities, advantages and cultural factors that gave these ‘outliers’ in their fields the extra boost they needed to consolidate their success. Among the book’s key concepts are the 10 000 Hour Rule (the hours of practice necessary to become an expert) and the Matthew Effect (the idea that advantages accumulate). Outliers is a key text in the field of 21st-century popular psychology, and has sold over 1.6 million copies worldwide to date. This book review and analysis is perfect for: •Students of psychology •Anyone with an interest in psychology •Anyone who wants to understand the hidden factors that determine success About 50MINUTES.COM | BOOK REVIEW The Book Review series from the 50Minutes collection is aimed at anyone who is looking to learn from experts in their field without spending hours reading endless pages of information. Our reviews present a concise summary of the main points of each book, as well as providing context, different perspectives and concrete examples to illustrate the key concepts.

A Statistical Technique for Computer Identification of Outliers in Multivariate Data

A Statistical Technique for Computer Identification of Outliers in Multivariate Data
Author: Ram Swaroop
Publsiher: Unknown
Total Pages: 29
Release: 1971
ISBN: 1928374650XXX
Category: Medicine
Language: EN, FR, DE, ES & NL

A Statistical Technique for Computer Identification of Outliers in Multivariate Data Book Excerpt:

A statistical technique and the necessary computer program for editing multivariate data are presented. The technique is particularly useful when large quantities of data are collected and the editing must be performed by automatic means. One task in the editing process is the identification of outliers, or observations which deviate markedly from the rest of the sample. A statistical technique, and the related computer program, for identifying the outliers in univariate data was presented in NASA TN D-5275. The current report is a multivariate analog which considers the statistical linear relationship between the variables in identifying the outliers. The program requires as inputs the number of variables, the data set, and the level of significance at which outliers are to be identified. It is assumed that the data are from a multivariate normal population and the sample size is at least two greater than the number of variables. Although the technique has been used primarily in editing biodata, the method is applicable to any multivariate data encountered in engineering and the physical sciences. An example is presented to illustrate the technique.

New Developments in Unsupervised Outlier Detection

New Developments in Unsupervised Outlier Detection
Author: Xiaochun Wang,Xiali Wang,Mitch Wilkes
Publsiher: Springer Nature
Total Pages: 277
Release: 2020-11-24
ISBN: 9811595194
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

New Developments in Unsupervised Outlier Detection Book Excerpt:

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and density-based outlier detection in particular; and the applications of the latest findings to boundary point detection and novel object detection. The book also offers a new perspective on bridging the gap between k-nearest neighbor-based outlier detection and clustering-based outlier detection, laying the groundwork for future advances in unsupervised outlier detection research. The authors hope the algorithms and applications proposed here will serve as valuable resources for outlier detection researchers for years to come.

Data Mining and Data Visualization

Data Mining and Data Visualization
Author: Anonim
Publsiher: Elsevier
Total Pages: 800
Release: 2005-05-02
ISBN: 9780080459400
Category: Mathematics
Language: EN, FR, DE, ES & NL

Data Mining and Data Visualization Book Excerpt:

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights

Big Data

Big Data
Author: Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
Publsiher: John Wiley & Sons
Total Pages: 368
Release: 2021-03-15
ISBN: 1119701872
Category: Mathematics
Language: EN, FR, DE, ES & NL

Big Data Book Excerpt:

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Measurement Instrumentation and Sensors Handbook

Measurement  Instrumentation  and Sensors Handbook
Author: John G. Webster,Halit Eren
Publsiher: CRC Press
Total Pages: 1921
Release: 2017-12-19
ISBN: 1439848939
Category: Medical
Language: EN, FR, DE, ES & NL

Measurement Instrumentation and Sensors Handbook Book Excerpt:

The Second Edition of the bestselling Measurement, Instrumentation, and Sensors Handbook brings together all aspects of the design and implementation of measurement, instrumentation, and sensors. Reflecting the current state of the art, it describes the use of instruments and techniques for performing practical measurements in engineering, physics, chemistry, and the life sciences and discusses processing systems, automatic data acquisition, reduction and analysis, operation characteristics, accuracy, errors, calibrations, and the incorporation of standards for control purposes. Organized according to measurement problem, the Electromagnetic, Optical, Radiation, Chemical, and Biomedical Measurement volume of the Second Edition: Contains contributions from field experts, new chapters, and updates to all 98 existing chapters Covers sensors and sensor technology, time and frequency, signal processing, displays and recorders, and optical, medical, biomedical, health, environmental, electrical, electromagnetic, and chemical variables A concise and useful reference for engineers, scientists, academic faculty, students, designers, managers, and industry professionals involved in instrumentation and measurement research and development, Measurement, Instrumentation, and Sensors Handbook, Second Edition: Electromagnetic, Optical, Radiation, Chemical, and Biomedical Measurement provides readers with a greater understanding of advanced applications.

Data Science Fundamentals and Practical Approaches

Data Science Fundamentals and Practical Approaches
Author: Nandi Dr. Rupam Dr. Gypsy, Kumar Sharma
Publsiher: BPB Publications
Total Pages: 634
Release: 2020-09-03
ISBN: 938984567X
Category: Language Arts & Disciplines
Language: EN, FR, DE, ES & NL

Data Science Fundamentals and Practical Approaches Book Excerpt:

Learn how to process and analysis data using Python Key Features a- The book has theories explained elaborately along with Python code and corresponding output to support the theoretical explanations. The Python codes are provided with step-by-step comments to explain each instruction of the code. a- The book is quite well balanced with programs and illustrative real-case problems. a- The book not only deals with the background mathematics alone or only the programs but also beautifully correlates the background mathematics to the theory and then finally translating it into the programs. a- A rich set of chapter-end exercises are provided, consisting of both short-answer questions and long-answer questions. Description This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. The content of the book describes the fundamentals of each of the Data Science related topics together with illustrative examples as to how various data analysis techniques can be implemented using different tools and libraries of Python programming language. Each chapter contains numerous examples and illustrative output to explain the important basic concepts. An appropriate number of questions is presented at the end of each chapter for self-assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic. What will you learn a- Understand what machine learning is and how learning can be incorporated into a program. a- Perform data processing to make it ready for visual plot to understand the pattern in data over time. a- Know how tools can be used to perform analysis on big data using python a- Perform social media analytics, business analytics, and data analytics on any data of a company or organization. Who this book is for The book is for readers with basic programming and mathematical skills. The book is for any engineering graduates that wish to apply data science in their projects or wish to build a career in this direction. The book can be read by anyone who has an interest in data analysis and would like to explore more out of interest or to apply it to certain real-life problems. Table of Contents 1. Fundamentals of Data Science1 2. Data Preprocessing 3. Data Plotting and Visualization 4. Statistical Data Analysis 5. Machine Learning for Data Science 6. Time-Series Analysis 7. Deep Learning for Data Science 8. Social Media Analytics 9. Business Analytics 10. Big Data Analytics About the Authors Dr. Gypsy Nandi is an Assistant Professor (Sr) in the Department of Computer Applications, Assam Don Bosco University, India. Her areas of interest include Data Science, Social Network Mining, and Machine Learning. She has completed her Ph.D. in the field of 'Social Network Analysis and Mining'. Her research scholars are currently working mainly in the field of Data Science. She has several research publications in reputed journals and book series. Dr. Rupam Kumar Sharma is an Assistant Professor in the Department of Computer Applications, Assam Don Bosco University, India. His area of interest includes Machine Learning, Data Analytics, Network, and Cyber Security. He has several research publications in reputed SCI and Scopus journals. He has also delivered lectures and trained hundreds of trainees and students across different institutes in the field of security and android app development.

Principles and Practice of Spectroscopic Calibration

Principles and Practice of Spectroscopic Calibration
Author: Howard Mark
Publsiher: John Wiley & Sons
Total Pages: 198
Release: 1992-04-16
ISBN: 9780471546146
Category: Science
Language: EN, FR, DE, ES & NL

Principles and Practice of Spectroscopic Calibration Book Excerpt:

Dealing with the principles of calibration--both the theoretical and mathematical constructs which relate features of calibration equations to the physical phenomena that affect instruments and samples used on generating information. Among derivations in leading spectroscopic and statistical literature, numerous necessary mathematical derivations have been specifically designed for this book. Covers the practical aspects of generating a calibration equation including how to recognize and deal with various types of problems affecting calibration dataset, relating theoretical ideas, and their affect on data and how to deal with unusual situations.

Outliers in Nonlinear Time Series Econometrics

Outliers in Nonlinear Time Series Econometrics
Author: Jussi Tolvi
Publsiher: Unknown
Total Pages: 129
Release: 2001
ISBN: 1928374650XXX
Category: Econometrics
Language: EN, FR, DE, ES & NL

Outliers in Nonlinear Time Series Econometrics Book Excerpt:

Code of Federal Regulations

Code of Federal Regulations
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2001
ISBN: 1928374650XXX
Category: Administrative law
Language: EN, FR, DE, ES & NL

Code of Federal Regulations Book Excerpt:

Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.

The Cultural Relationships of the Polynesian Outliers

The Cultural Relationships of the Polynesian Outliers
Author: Donn T. Bayard
Publsiher: Unknown
Total Pages: 144
Release: 1976
ISBN: 1928374650XXX
Category: Human geography
Language: EN, FR, DE, ES & NL

The Cultural Relationships of the Polynesian Outliers Book Excerpt:

Measuring Business Cycles in Economic Time Series

Measuring Business Cycles in Economic Time Series
Author: Regina Kaiser,Agustin Maravall
Publsiher: Springer Science & Business Media
Total Pages: 74
Release: 2000-11-17
ISBN: 9780387951126
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Measuring Business Cycles in Economic Time Series Book Excerpt:

This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series forecasts and back-casts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented using artificial and actual data demonstrate the superiority of the alternative strategy.

Memoirs of the Geological Survey of England and Wales

Memoirs of the Geological Survey of England and Wales
Author: Geological Survey of Great Britain
Publsiher: Unknown
Total Pages: 654
Release: 1872
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Memoirs of the Geological Survey of England and Wales Book Excerpt:

Memoirs of the Geological Survey of Great Britain and the Museum of Economic Geology in London

Memoirs of the Geological Survey of Great Britain and the Museum of Economic Geology in London
Author: Anonim
Publsiher: Unknown
Total Pages: 644
Release: 1872
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Memoirs of the Geological Survey of Great Britain and the Museum of Economic Geology in London Book Excerpt:

Statistical Applications for Environmental Analysis and Risk Assessment

Statistical Applications for Environmental Analysis and Risk Assessment
Author: Joseph Ofungwu
Publsiher: John Wiley & Sons
Total Pages: 648
Release: 2014-05-06
ISBN: 1118634519
Category: Social Science
Language: EN, FR, DE, ES & NL

Statistical Applications for Environmental Analysis and Risk Assessment Book Excerpt:

Statistical Applications for Environmental Analysis and RiskAssessment guides readers through real-world situations and thebest statistical methods used to determine the nature and extent ofthe problem, evaluate the potential human health and ecologicalrisks, and design and implement remedial systems as necessary.Featuring numerous worked examples using actual data and“ready-made” software scripts, StatisticalApplications for Environmental Analysis and Risk Assessmentalso includes: • Descriptions of basic statistical concepts andprinciples in an informal style that does not presume priorfamiliarity with the subject • Detailed illustrations of statistical applications inthe environmental and related water resources fields usingreal-world data in the contexts that would typically be encounteredby practitioners • Software scripts using the high-powered statisticalsoftware system, R, and supplemented by USEPA’s ProUCL andUSDOE’s VSP software packages, which are all freelyavailable • Coverage of frequent data sample issues such asnon-detects, outliers, skewness, sustained and cyclical trend thathabitually plague environmental data samples • Clear demonstrations of the crucial, but oftenoverlooked, role of statistics in environmental sampling design andsubsequent exposure risk assessment.

Predictive Analytics and Data Mining

Predictive Analytics and Data Mining
Author: Vijay Kotu,Bala Deshpande
Publsiher: Morgan Kaufmann
Total Pages: 446
Release: 2014-11-27
ISBN: 0128016507
Category: Computers
Language: EN, FR, DE, ES & NL

Predictive Analytics and Data Mining Book Excerpt:

Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining. You’ll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

Report to Congress DRG Refinement Outliers Severity of Illness and Intensity of Care

Report to Congress  DRG Refinement  Outliers  Severity of Illness  and Intensity of Care
Author: Department of Health and Human Services
Publsiher: Unknown
Total Pages: 254
Release: 2022
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Report to Congress DRG Refinement Outliers Severity of Illness and Intensity of Care Book Excerpt: