From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005

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This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.
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Publisher
Springer Science & Business Media
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Published on
Apr 20, 2006
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Pages
761
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ISBN
9783540313144
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Best For
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Language
English
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Genres
Business & Economics / Economics / Theory
Business & Economics / Statistics
Language Arts & Disciplines / Library & Information Science / General
Mathematics / Probability & Statistics / General
Medical / Biostatistics
Social Science / Media Studies
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This content is DRM protected.
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Charles Wheelan
“Brilliant, funny . . . the best math teacher you never had.”—San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.

And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Kai Michels
“Fuzzy Control - the revolutionary computer technology that is changing our world” - these and other headlines could be read when in the early 90’s news from Japan came over telling us about the success of fuzzy controllers. The idea which was put into practice had been suggested by Lot? A. Zadeh in Berkeley in 1965. It had been developed and tested in some practical - plications, especially in Europe. In Japan fuzzy control was celebrated as a technology re?ecting the Japanese way of thinking by its unsharpness and - plicitoverlappingofseveralstatements. Anewtechnologyboomwaspredicted for Japan which would make Europe lose ground. Consequently, this news created unrest. Research projects were initiated and development departments were engaged to translate fuzzy control into products. Adversaries and supporters hurried up to inform themselves and intensely discussed whether the “conventional” or the fuzzy control were the better alternative. Finally, the excitement cooled down since in recent years fuzzy control was analyzed fromthe classical pointofview. Thus,amoreobjective evaluation of its strong and weak points was possible. Furthermore, it was shown how fuzzy systems could be put to use in the steering level which is the level above the control loop, especially in interaction with other methods of soft computing and arti?cial intelligence. Based on these fundamentals, the aim of this book is to support the convenient use of fuzzy controllers and fuzzy systems in the branch of control engineering and automation systems.
Cathy O'Neil
Longlisted for the National Book Award
New York Times Bestseller

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.

But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.

Tracing the arc of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.

O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

— Longlist for National Book Award (Non-Fiction)
— Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)
— Kirkus, Best Books of 2016
— New York Times, 100 Notable Books of 2016 (Non-Fiction)
— The Guardian, Best Books of 2016
— WBUR's "On Point," Best Books of 2016: Staff Picks
— Boston Globe, Best Books of 2016, Non-Fiction
Wolfgang A. Gaul
Otto Opitz feiert im Juni 1999 seinen sechzigsten Geburtstag. Aus diesem Anlaß haben sich Schüler, ihm nahestehende Kollegen und Freunde ent schlossen, die nachfolgende Festschrift zu erstellen. Daß sich dabei eine hohe Korrelation zwischen den wissenschaftlichen Interessensgebieten von Otto Opitz und den Themen der eingegangenen Beiträge gezeigt hat, ist nicht er staunlich und hat die Strukturierung dieses Bandes erleichtert. Ein Auszug seiner wissenschaftlichen Tätigkeiten findet sich am Ende des Bandes. Eines der wichtigsten Betätigungsfelder von Otto Opitz kann mit Daten analyse und Klassifikation umschrieben werden. Und so, wie sich diese For schungsrichtung aus der Statistik entwickelt hat, ist in jüngster Zeit eine Diskussion zu beobachten, die Data Mining als neues Forschungsgebiet zu etablieren sucht. Zu bevorzugten Anwendungsbereichen von Aktivitäten aus den zuvor genannten Gebieten haben für Otto Opitz stets Marktforschung und Marketing gehört, und nicht nur seine Beschäftigung mit Methoden der Bankmarktforschung belegt, daß auch die mit Kapital und Risiko umschreib bare Forschungsrichtung sein Interesse gefunden hat. Schon in frühen Arbei ten von Otto Opitz finden sich spieltheoretische Überlegungen, die Aus gangspunkt für Forschungsaktivitäten in den Gebieten Operations Research und Unternehmensplanung sowie Volkswirtschaftslehre waren. Natürlich ha ben Entwicklungen in der Informatik seine wissenschaftlichen Arbeiten be pe-gestützter Software zur Datenana einflußt, wobei die Bereitstellung von lyse den Methodeneinsatz in der Lehre unterstützt hat.
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