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From the bestselling author of Blink and The Tipping Point, Malcolm Gladwell's Outliers: The Story of Success overturns conventional wisdom about genius to show us what makes an ordinary person an extreme overachiever. Why do some people achieve so much more than others? Can they lie so far out of the ordinary? In this provocative and inspiring book, Malcolm Gladwell looks at everyone from rock stars to professional athletes, software billionaires to scientific geniuses, to show that the story of success is far more surprising, and far more fascinating, than we could ever have imagined. He reveals that it's as much about where we're from and what we do, as who we are - and that no one, not even a genius, ever makes it alone. Outliers will change the way you think about your own life story, and about what makes us all unique. 'Gladwell is not only a brilliant storyteller; he can see what those stories tell us, the lessons they contain' Guardian 'Malcolm Gladwell is a global phenomenon ... he has a genius for making everything he writes seem like an impossible adventure' Observer 'He is the best kind of writer - the kind who makes you feel like you're a genius, rather than he's a genius' The Times

In today's hyper-connected society, understanding the mechanisms of trust is crucial. Issues of trust are critical to solving problems as diverse as corporate responsibility, global warming, and the political system. In this insightful and entertaining book, Schneier weaves together ideas from across the social and biological sciences to explain how society induces trust. He shows the unique role of trust in facilitating and stabilizing human society. He discusses why and how trust has evolved, why it works the way it does, and the ways the information society is changing everything.

From the New York Times bestselling author of Reconstructing Amelia comes a fast-paced teen series where one girl learns that in a world of intrigue, betrayal, and deeply buried secrets, it is vital to trust your instincts. It all starts with a text: Please, Wylie, I need your help. Wylie hasn’t heard from Cassie in over a week, not since their last fight. But that doesn’t matter. Cassie’s in trouble, so Wylie decides to do what she has done so many times before: save her best friend from herself. This time it’s different, though. Instead of telling Wylie where she is, Cassie sends cryptic clues. And instead of having Wylie come by herself, Jasper shows up saying Cassie sent him to help. Trusting the guy who sent Cassie off the rails doesn’t feel right, but Wylie has no choice but to ignore her gut instinct and go with him. But figuring out where Cassie is goes from difficult to dangerous, fast. As Wylie and Jasper head farther and farther north into the dense woods of Maine, Wylie struggles to control her growing sense that something is really wrong. What isn’t Cassie telling them? And could finding her be only the beginning? In this breakneck tale, New York Times bestselling author Kimberly McCreight brilliantly chronicles a fateful journey that begins with a single decision—and ends up changing everything.

The much-anticipated final book in New York Times bestselling author Kimberly McCreight’s Outliers trilogy. KEEP YOUR ENEMIES CLOSE. Wylie is finally out of the detention center, but that doesn’t mean she’s safe. As much as she wants to forget everything that's happened and return to her normal life, Wylie knows that true freedom means discovering, once and for all, who is hunting the girls who are Outliers—and why. Armed with only a few clues and a handful of trusted allies, Wylie sets out to separate fact from fiction. But soon she is unearthing long-buried secrets and finds herself entangled in a conspiracy that is much bigger and more dangerous than she ever could have imagined. Worse yet, the nearer Wylie gets to discovering the truth, the closer her enemies get to silencing her and the other girls. This time, maybe forever. In the explosive conclusion to New York Times bestselling author Kimberly McCreight’s Outliers series, Wylie learns that when danger lurks in unexpected places, fighting for who and what you believe in can matter even more than you realized . . . and that trusting yourself might be the one thing that saves you.

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.

A “truly compelling” (Good Morning America) New York Times bestseller that explores how technology and best intentions collide in the heat of war—from the creator and host of the podcast Revisionist History. In The Bomber Mafia, Malcolm Gladwell weaves together the stories of a Dutch genius and his homemade computer, a band of brothers in central Alabama, a British psychopath, and pyromaniacal chemists at Harvard to examine one of the greatest moral challenges in modern American history. Most military thinkers in the years leading up to World War II saw the airplane as an afterthought. But a small band of idealistic strategists, the “Bomber Mafia,” asked: What if precision bombing could cripple the enemy and make war far less lethal? In contrast, the bombing of Tokyo on the deadliest night of the war was the brainchild of General Curtis LeMay, whose brutal pragmatism and scorched-earth tactics in Japan cost thousands of civilian lives, but may have spared even more by averting a planned US invasion. In The Bomber Mafia, Gladwell asks, “Was it worth it?” Things might have gone differently had LeMay’s predecessor, General Haywood Hansell, remained in charge. Hansell believed in precision bombing, but when he and Curtis LeMay squared off for a leadership handover in the jungles of Guam, LeMay emerged victorious, leading to the darkest night of World War II. The Bomber Mafia is a riveting tale of persistence, innovation, and the incalculable wages of war.

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.

From the #1 bestselling author of The Bomber Mafia, the landmark book that has revolutionized the way we understand leadership and decision making. In his breakthrough bestseller The Tipping Point, Malcolm Gladwell redefined how we understand the world around us. Now, in Blink, he revolutionizes the way we understand the world within. Blink is a book about how we think without thinking, about choices that seem to be made in an instant--in the blink of an eye--that actually aren't as simple as they seem. Why are some people brilliant decision makers, while others are consistently inept? Why do some people follow their instincts and win, while others end up stumbling into error? How do our brains really work--in the office, in the classroom, in the kitchen, and in the bedroom? And why are the best decisions often those that are impossible to explain to others? In Blink we meet the psychologist who has learned to predict whether a marriage will last, based on a few minutes of observing a couple; the tennis coach who knows when a player will double-fault before the racket even makes contact with the ball; the antiquities experts who recognize a fake at a glance. Here, too, are great failures of "blink": the election of Warren Harding; "New Coke"; and the shooting of Amadou Diallo by police. Blink reveals that great decision makers aren't those who process the most information or spend the most time deliberating, but those who have perfected the art of "thin-slicing"--filtering the very few factors that matter from an overwhelming number of variables.

Explore the power of the underdog in Malcolm Gladwell's dazzling examination of success, motivation, and the role of adversity in shaping our lives, from the bestselling author of The Bomber Mafia. Three thousand years ago on a battlefield in ancient Palestine, a shepherd boy felled a mighty warrior with nothing more than a stone and a sling, and ever since then the names of David and Goliath have stood for battles between underdogs and giants. David's victory was improbable and miraculous. He shouldn't have won. Or should he have? In David and Goliath, Malcolm Gladwellchallenges how we think about obstacles and disadvantages, offering a new interpretation of what it means to be discriminated against, or cope with a disability, or lose a parent, or attend a mediocre school, or suffer from any number of other apparent setbacks. Gladwell begins with the real story of what happened between the giant and the shepherd boy those many years ago. From there, David and Goliath examines Northern Ireland's Troubles, the minds of cancer researchers and civil rights leaders, murder and the high costs of revenge, and the dynamics of successful and unsuccessful classrooms—all to demonstrate how much of what is beautiful and important in the world arises from what looks like suffering and adversity. In the tradition of Gladwell's previous bestsellers—The Tipping Point, Blink, Outliers and What the Dog Saw—David and Goliath draws upon history, psychology, and powerful storytelling to reshape the way we think of the world around us.

New York Times bestselling author Kimberly McCreight raises the stakes in the second book of the heart-pounding Outliers trilogy, a uniquely speculative story about secrets, betrayal, and a world where one small group of people are blessed—or cursed—with an incredible power. Wylie may have escaped the camp in Maine, but she is far from safe. The best way for her to protect herself is to understand her ability, fast. But after spending a lifetime trying to ignore her own feelings, giving in to her ability to read other peoples’ emotions is as difficult as it is dangerous. And Wylie isn’t the only one at risk. Ever since they returned home, Jasper has been spiraling, wracked with guilt over what happened to Cassie. After all they’ve been through together, Wylie and Jasper would do anything for each other, but she doesn’t know if their bond is strong enough to overcome demons from the past. It is amid this uncertainty and fear that Wylie finds herself confronted with a choice. She was willing to do whatever it took to help Cassie, but is she prepared to go to the same extremes to help complete strangers . . . even if they are just like her?

So much to read, so little time? This brief overview of Outliers tells you what you need to know—before or after you read Malcolm Gladwell’s book. Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader. This short summary and analysis of Outliers by Malcolm Gladwell includes: Historical context Chapter-by-chapter summaries Profiles of the main characters Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work About Outliers by Malcolm Gladwell: What makes high achievers, like Mark Zuckerberg, Bill Gates, and members of the Beatles so successful? Is it pure talent? Personal drive? An off-the-charts IQ? In Outliers, bestselling author Malcolm Gladwell explores the subject of success and argues that there is more to the story than individual exceptionalism. In addition to inherent talent or intelligence, there are other factors that have come into play for the innovators, artists, athletes, and prodigies who have become household names. Many who have attained rock-star status in their fields may have education, culture, access to a specific technology or opportunity, and ten thousand hours of practice to thank for their reaching their goals. Through a wide range of examples and anecdotes, learn what makes outliers so extraordinary. The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of nonfiction.

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper." –Mathematical Geology "I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems. . . .Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is‘to make robust regression available for everyday statisticalpractice.’ Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen." –Journal of the American Statistical Association

Malcolm Gladwell, host of the podcast Revisionist History and author of the #1 New York Times bestseller Outliers, offers a powerful examination of our interactions with strangers and why they often go wrong—now with a new afterword by the author. A Best Book of the Year: The Financial Times, Bloomberg, Chicago Tribune, and Detroit Free Press How did Fidel Castro fool the CIA for a generation? Why did Neville Chamberlain think he could trust Adolf Hitler? Why are campus sexual assaults on the rise? Do television sitcoms teach us something about the way we relate to one another that isn’t true? Talking to Strangers is a classically Gladwellian intellectual adventure, a challenging and controversial excursion through history, psychology, and scandals taken straight from the news. He revisits the deceptions of Bernie Madoff, the trial of Amanda Knox, the suicide of Sylvia Plath, the Jerry Sandusky pedophilia scandal at Penn State University, and the death of Sandra Bland—throwing our understanding of these and other stories into doubt. Something is very wrong, Gladwell argues, with the tools and strategies we use to make sense of people we don’t know. And because we don’t know how to talk to strangers, we are inviting conflict and misunderstanding in ways that have a profound effect on our lives and our world. In his first book since his #1 bestseller David and Goliath, Malcolm Gladwell has written a gripping guidebook for troubled times.

An essential re-evaluation of the complex triumphs and tragedies of Jimmy Carter's presidential legacy. In this first full presidential biography of Jimmy Carter, Bird unfolds the story of Carter's four years with few allies inside Washington and a great many critics in the media

Malcolm Gladwell asks the questions you never even thought to ask (and will change the way you think) about everything from criminal profiling to ketchup.

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. For example, in our everyday life, various kinds of records like credit, personnel, financial, judicial, medical, etc., are all temporal. This stresses the need for an organized and detailed study of outliers with respect to such temporal data. In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time series, researchers have focused on rich forms of data including multiple data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for temporal outlier detection are very different. In this book, we will present an organized picture of both recent and past research in temporal outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We motivate the importance of temporal outlier detection and brief the challenges beyond usual outlier detection. Then, we list down a taxonomy of proposed techniques for temporal outlier detection. Such techniques broadly include statistical techniques (like AR models, Markov models, histograms, neural networks), distance- and density-based approaches, grouping-based approaches (clustering, community detection), network-based approaches, and spatio-temporal outlier detection approaches. We summarize by presenting a wide collection of applications where temporal outlier detection techniques have been applied to discover interesting outliers. Table of Contents: Preface / Acknowledgments / Figure Credits / Introduction and Challenges / Outlier Detection for Time Series and Data Sequences / Outlier Detection for Data Streams / Outlier Detection for Distributed Data Streams / Outlier Detection for Spatio-Temporal Data / Outlier Detection for Temporal Network Data / Applications of Outlier Detection for Temporal Data / Conclusions and Research Directions / Bibliography / Authors' Biographies

'Machiavelli has a new rival, and Sun-tzu had better watch his back' - New York Times Around the globe, people are facing the same problem - that we are born as individuals but are forced to conform to the rules of society if we want to succeed. To see our uniqueness expressed in our achievements, we must first learn the rules - and then how to change them completely. Charles Darwin began as an underachieving schoolboy, Leonardo da Vinci as an illegitimate outcast. The secret of their eventual greatness lies in a 'rigorous apprenticeship': by paying close and careful attention, they learnt to master the 'hidden codes' which determine ultimate success or failure. Then, they rewrote the rules as a reflection of their own individuality, blasting previous patterns of achievement open from within. Told through Robert Greene's signature blend of historical anecdote and psychological insight and drawing on interviews with world leaders, Mastery builds on the strategies outlined in The 48 Laws of Power to provide a practical guide to greatness - and how to start living by your own rules. From the internationally bestselling author of The 48 Laws of Power, The Art Of Seduction, and The 33 Strategies Of War.

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.

Imagine this…Wilton, a small town in the Berkshires of Massachusetts. Roland Briggs, a brilliant but burned out ex-homicide detective from the south trying to escape the horror of his wife’s suicide and his subsequent nervous breakdown, takes the job of chief of police. For two years, it’s just as he’d hoped, quiet and unchallenging. But then, it the fall of 1972, the town is rocked by the grisly murders of two elderly women. A man is caught and convicted. The evidence against him is overwhelming. Everyone is satisfied that the murderer is behind bars. Everyone except Briggs. Armed with only a few inconsistencies and his belief that the convicted man was framed, Briggs begins his search to find the motive for these senseless and seemingly random acts of violence. Slowly, he begins to realize that the reason for these crimes is buried in the old and abandoned, Wilton School for the Feeble-Minded, up on the hill on the outskirts of town.

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.