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Author: Wolfgang A. Gaul
Publisher: Springer Science & Business Media
ISBN: 3642559913
Category : Computers
Languages : en
Pages : 516
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Book Description
Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.
Author: Wolfgang A. Gaul
Publisher: Springer Science & Business Media
ISBN: 3642559913
Category : Computers
Languages : en
Pages : 516
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Book Description
Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.
Author: Martine Robbeets
Publisher: Oxford University Press
ISBN: 0192526782
Category : Language Arts & Disciplines
Languages : en
Pages : 984
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Book Description
The Oxford Guide to the Transeurasian Languages provides a comprehensive account of the Transeurasian languages, and is the first major reference work in the field since 1965. The term 'Transeurasian' refers to a large group of geographically adjacent languages that includes five uncontroversial linguistic families: Japonic, Koreanic, Tungusic, Mongolic, and Turkic. The historical connection between these languages, however, constitutes one of the most debated issues in historical comparative linguistics. In the present book, a team of leading international scholars in the field take a balanced approach to this controversy, integrating different theoretical frameworks, combining both functional and formal linguistics, and showing that genealogical and areal approaches are in fact compatible with one another. The volume is divided into five parts. Part I deals with the historical sources and periodization of the Transeurasian languages and their classification and typology. In Part II, chapters provide individual structural overviews of the Transeurasian languages and the linguistic subgroups that they belong to, while Part III explores Transeurasian phonology, morphology, syntax, lexis, and semantics from a comparative perspective. Part IV offers a range of areal and genealogical explanations for the correlations observed in the preceding parts. Finally, Part V combines archaeological, genetic, and anthropological perspectives on the identity of speakers of Transeurasian languages. The Oxford Guide to the Transeurasian Languages will be an indispensable resource for specialists in Japonic, Koreanic, Tungusic, Mongolic, and Turkic languages and for anyone with an interest in Transeurasian and comparative linguistics more broadly.
Author: S. van Huffel
Publisher: Springer Science & Business Media
ISBN: 9401735522
Category : Mathematics
Languages : en
Pages : 389
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Book Description
In response to a growing interest in Total Least Squares (TLS) and Errors-In-Variables (EIV) modeling by researchers and practitioners, well-known experts from several disciplines were invited to prepare an overview paper and present it at the third international workshop on TLS and EIV modeling held in Leuven, Belgium, August 27-29, 2001. These invited papers, representing two-thirds of the book, together with a selection of other presented contributions yield a complete overview of the main scientific achievements since 1996 in TLS and Errors-In-Variables modeling. In this way, the book nicely completes two earlier books on TLS (SIAM 1991 and 1997). Not only computational issues, but also statistical, numerical, algebraic properties are described, as well as many new generalizations and applications. Being aware of the growing interest in these techniques, it is a strong belief that this book will aid and stimulate users to apply the new techniques and models correctly to their own practical problems.
Author: Benedikt Szmrecsanyi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110372541
Category : Language Arts & Disciplines
Languages : en
Pages : 421
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Book Description
This volume aims to overcome sub-disciplinary boundaries in the study of linguistic variation - be it language-internal or cross-linguistic. Even though dialectologists, register analysts, typologists, and quantitative linguists all deal with linguistic variation, there is astonishingly little interaction across these fields. But the fourteen contributions in this volume show that these subdisciplines actually share many interests and methodological concerns in common. The chapters specifically converge in the following ways: First, they all seek to explore linguistic variation, within or across languages. Second, they are based on usage data, that is, on corpora of (more or less) authentic text or speech of different languages or language varieties. Third, all chapters are concerned with the joint analysis (also sometimes known as “aggregation” or “data synthesis”) of multiple phenomena, features, or measurements of some sort. And lastly, the contributors all marshal quantitative analysis techniques to analyse the data. In short, the volume explores the text-feature-aggregation pipeline in variation studies, demonstrating that there is much mutual inspiration to be had by thinking outside the disciplinary box.
Author: Jack Grieve
Publisher: Cambridge University Press
ISBN: 1316419029
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
The first study of its kind, Regional Variation in Written American English takes a corpus-based approach to map over a hundred grammatical alternation variables across the United States. A multivariate spatial analysis of these maps shows that grammatical alternation variables follow a relatively small number of common regional patterns in American English, which can be explained based on both linguistic and extra-linguistic factors. Based on this rigorous analysis of extensive data, Grieve identifies five primary modern American dialect regions, demonstrating that regional variation is far more pervasive and complex in natural language than is generally assumed. The wealth of maps and data and the groundbreaking implications of this volume make it essential reading for students and researchers in linguistics, English language, geography, computer science, sociology and communication studies.
Author: Ingo Klein
Publisher: Springer Science & Business Media
ISBN: 9781402073342
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
The field of econometrics has gone through remarkable changes during the last decades. The earlier focus on testing macroeconomic theories has been widened considerably. It has turned into a discipline concerned with the development and application of statistical methods for any kind of economic data. Contributions to Modern Econometrics represents a collection of recent economic applications of modern econometrics and methodological developments. It converse topics such as: -Effects of data quality on monetary policy, -Empirical comparison of alternative monetary aggregates, -Empirical tests of theories for the term structure of interest rates, -Financial econometrics for heavy-tailed returns, -The transformation of the Polish economy, -Labor economics, -Econometric modeling of household and investment decisions, -modeling with limited dependent variables, -testing for units roots, -Alternative smoothing algorithms, -Latent-variable models with error in variables. Contributions to Modern Econometrics is of interest to researchers and students in economics as well as practitioners in business, industry and public institutions who want to learn about recent developments in the field of econometrics.
Author: Jacobsen, Ben
Publisher: Policy Press
ISBN: 1529218152
Category : Business & Economics
Languages : en
Pages : 120
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Book Description
Social media platforms hold vast amounts of data about our lives. Content from the past is increasingly being presented in the form of ‘memories’. Critically exploring this new form of memory making, this unique book asks how social media are beginning to change the way we remember.
Author: Myra Spiliopoulou
Publisher: Springer Science & Business Media
ISBN: 9783540313137
Category : Language Arts & Disciplines
Languages : en
Pages : 788
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Book Description
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.
Author: Deutsches Institut für Wirtschaftsforschung
Publisher:
ISBN:
Category : Economic history
Languages : en
Pages : 552
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Book Description
Author: Nicholas Diakopoulos
Publisher: Harvard University Press
ISBN: 0674239318
Category : Language Arts & Disciplines
Languages : en
Pages : 337
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Book Description
From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm. Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories—increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human–algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.
