Statistics for HCI: Making Sense of Quantitative Data, Dix Alan

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
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Цена: 73920.00 T
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Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Автор: Lopez Daphne, Durai M. a. Saleem
Название: Hci Challenges and Privacy Preservation in Big Data Security
ISBN: 1522528636 ISBN-13(EAN): 9781522528630
Издательство: Mare Nostrum (Eurospan)
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Цена: 208830.00 T
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Описание: Privacy protection within large databases can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. HCI Challenges and Privacy Preservation in Big Data Security is an informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.

Автор: Dix Alan
Название: Statistics for Hci: Making Sense of Quantitative Data
ISBN: 1681737434 ISBN-13(EAN): 9781681737430
Издательство: Mare Nostrum (Eurospan)
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Цена: 66530.00 T
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Описание: Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.

Автор: Tuffery
Название: Data Mining and Statistics for Decision Making
ISBN: 0470688297 ISBN-13(EAN): 9780470688298
Издательство: Wiley
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Цена: 74920.00 T
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Описание: Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.

Автор: D. Scott McCrickard
Название: Making Claims: Knowledge Design, Capture, and Sharing in HCI
ISBN: 1608459047 ISBN-13(EAN): 9781608459049
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание: Human-centered informatics (HCI) is a young discipline that is still defining its core components, with approaches rooted in engineering, science, and creative design. In the spirit of this book series, this book explores HCI as an intersection point for different perspectives of computing and information technology, seeking to understand how groups of designers can communicate with an increasingly diverse set of colleagues on a broadening set of problems. In so doing, this book traces the evolution of claims as a way to capture and share knowledge, particularly in comparison to other approaches like patterns and issues. Claims can be a centrally important aspect in HCI design efforts, either consciously by targeted design techniques or through ingrained habits of experienced designers. An examination of claims, their uses in design, and the possibilities for explicit use in future collaborative design endeavors seeks to inspire their further development use in HCI design.

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Автор: Yvonne Rogers
Название: HCI Theory: Classical, Modern, and Contemporary
ISBN: 1681732297 ISBN-13(EAN): 9781681732299
Издательство: Mare Nostrum (Eurospan)
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Цена: 56370.00 T
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Описание: Charts the theoretical developments in HCI, both past and present, reflecting on how they have shaped the field. It explores both the rhetoric and the reality: how theories have been conceptualized, what was promised, how they have been used and which has made the most impact in the field.

Автор: Long, John
Название: Approaches and frameworks for HCI research
ISBN: 1108719074 ISBN-13(EAN): 9781108719070
Издательство: Cambridge Academ
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Цена: 48570.00 T
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Описание: HCI spans many disciplines, making it difficult for newcomers to get an overview of the field. This research textbook for beginning HCI researchers surveys concepts and methods, offering a general framework to bring together the disparate pieces and responding to the challenge of retaining growth and diversification in HCI research.

Автор: Turner
Название: HCI Redux
ISBN: 3319422332 ISBN-13(EAN): 9783319422336
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book explores the role of cognition in the field of human-computer interaction (HCI) assessing how the field has developed over the past thirty years and discusses where the field is heading, as we begin to live in increasingly interconnected digital environments. Taking a broad chronological view, the author discusses cognition in relation to areas like make-believe, and appropriation, and places these more recent concepts in the context of traditional thinking about the psychology of HCI. HCI Redux will appeal to undergraduate and postgraduate students and researchers in psychology, the cognitive sciences and HCI. It will also be of interest to all readers with a curiosity about our everyday use of technology.

Автор: Olson Judith S
Название: Ways of Knowing in HCI
ISBN: 1493903772 ISBN-13(EAN): 9781493903771
Издательство: Springer
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Цена: 74530.00 T
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Описание: This textbook brings together both new and traditional research methods in Human Computer Interaction (HCI). Readers will gain an understanding of the type of knowledge each method provides, its disciplinary roots and how each contributes to understanding users, user behavior and the context of use.

Автор: Claus Unger; Leonard J. Bass
Название: Engineering for HCI
ISBN: 0412721805 ISBN-13(EAN): 9780412721809
Издательство: Springer
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Цена: 204040.00 T
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Описание: Contains the papers presented at the Working Conference on Engineering for Human-Computer Interaction (EHCI`95), grouped into the topic areas Formal Methods, Tools, Multimedia, Architecture, CSCW, and Design. This title includes transcripts of all discussions among the presenters and the conference participants.