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Multidimensional Data Visualization

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Statistics 101 ― From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics
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出版日:2018/12/18 作者:David Borman  出版社:Adams Media Corp  裝訂:精裝
A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age
優惠價: 1 646
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出版日:2018/12/17 作者:Zhengming Ding; Handong Zhao; Yun Fu  出版社:Springer-Nature New York Inc  裝訂:精裝
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This
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出版日:2018/12/14 作者:Vijay Kotu; Bala Deshpande  出版社:Morgan Kaufmann Pub  裝訂:平裝
Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your ten
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出版日:2018/12/14 作者:Dorota Muszytowska (EDT); Janusz Krecidlo (EDT); Anna Szczepan-wojnarska (EDT)  出版社:Peter Lang Pub Inc  裝訂:精裝
Jerusalem as a theme of this collection of essays evokes multidimensional reflections and enters the ongoing discourse concerning this particular city and forms of its appearance in culture. The book
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出版日:2018/12/13 作者:Ronald Leenes (EDT); Rosamunde Van Brakel (EDT); Serge Gutwirth (EDT); Paul De Hert (EDT)  出版社:Hart Pub Ltd  裝訂:精裝
The subjects of Privacy and Data Protection are more relevant than ever, and especially since 25 May 2018, when the European General Data Protection Regulation became enforceable. This volume brings t
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出版日:2018/12/10 作者:Yoshinori Dobashi (EDT); Shizuo Kaji (EDT); Kei Iwasaki (EDT)  出版社:Springer Nature  裝訂:精裝
This book presents cutting-edge developments in the advanced mathematical theories utilized in computer graphics research – fluid simulation, realistic image synthesis, and texture, visualization and
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出版日:2018/12/05 作者:Kevin Wang; Ali Alawieh; Fadi A. Zaraket; Firas Kobeissy  出版社:Academic Pr  裝訂:平裝
Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and de
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出版日:2018/12/01 作者:Anne Wade  出版社:Society Pub  裝訂:精裝
Digital Forensics and Investigation: From Data to Digital Evidence examines various aspects of digital forensics and investigation including an extensive overview from data to digital evidence. It inc
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出版日:2018/12/01 作者:Hannah Knox (EDT); Dawn Nafus (EDT)  出版社:Manchester Univ Pr  裝訂:精裝
This edited collection aims to reimagine and extend ethnography for a data-saturated world. The book brings together leading scholars in the social sciences who have been interrogating and collaborati
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出版日:2018/12/01 作者:Hannah Knox (EDT); Dawn Nafus (EDT)  出版社:Manchester Univ Pr  裝訂:平裝
This edited collection aims to reimagine and extend ethnography for a data-saturated world. The book brings together leading scholars in the social sciences who have been interrogating and collaborati
優惠價: 1 2217
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出版日:2018/11/30 作者:Larini  出版社:John Wiley & Sons Inc  裝訂:精裝
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the
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The Model Thinker ― What You Need to Know to Make Data Work for You
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出版日:2018/11/27 作者:Scott E. Page  出版社:Basic Books  裝訂:精裝
How anyone can become a data ninja From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet
優惠價: 79 961
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Statistical Methods for Overdispersed Count Data
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出版日:2018/11/26 作者:Jean-francois Dupuy  出版社:Elsevier Science Ltd  裝訂:精裝
Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementat
優惠價: 79 5214
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出版日:2018/11/22 作者:Nilanjan Dey (EDT); Amira Ashour (EDT); Simon James Fong (EDT); Chintan Bhatt (EDT)  出版社:Academic Pr  裝訂:平裝
Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for h
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Digital Discussions ― How Big Data Informs Political Communication
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出版日:2018/11/22 作者:Natalie Jomini Stroud (EDT); Shannon Mcgregor (EDT)  出版社:Routledge  裝訂:平裝
Big data raise major research possibilities for political communication scholars who are interested in how citizens, elites, and journalists interact. With the availability of social media data,
優惠價: 1 2997
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Data, Architecture and the Experience of Place
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出版日:2018/11/22 作者:Anastasia Karandinou (EDT)  出版社:Routledge  裝訂:平裝
The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods
優惠價: 1 2859
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出版日:2018/11/19 作者:Nikki Kiyimba; Jessica Nina Lester; Michelle O'reilly  出版社:Springer Nature  裝訂:精裝
This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement
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出版日:2018/11/14 作者:Murugan Anandarajan; Chelsey Hill; Thomas Nolan  出版社:Springer Verlag  裝訂:平裝
This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data mak
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This book analyses the legal approach to personal data taken by different fields of law. An increasing number of business models in the digital economy rely on personal data as a key input. In exchang
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出版日:2018/11/13 作者:Peter Filzmoser; Karel Hron; Matthias Templ  出版社:Springer Nature  裝訂:精裝
This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data anal
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This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management,
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Using Visual Data in Qualitative Research
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出版日:2018/11/12 作者:Banks  出版社:SAGE Publications UK  裝訂:平裝
This book helps students and scholars get started on the exciting journey of using visual data in social research. It covers the many uses a researcher can make of images, from creating images as a pa
優惠價: 79 1563
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出版日:2018/11/09 作者:Jean Thioulouse; St廧hane Dray; Anne-b嶧trice Dufour; Aur幨ie Siberchicot; Thibaut Jombart  出版社:Springer Nature  裝訂:精裝
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provi
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出版日:2018/11/09 作者:R. D. McDowall  出版社:Royal Society of Chemistry  裝訂:精裝
Data integrity is the hottest topic in the pharmaceutical industry. Global regulatory agencies have issued guidance, after guidance after guidance in the past few years, most of which does not offer p
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Smart Grid Technology ― A Cloud Computing and Data Management Approach
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出版日:2018/11/08 作者:Sudip Misra  出版社:Cambridge Univ Pr  裝訂:精裝
This comprehensive text covers fundamental concepts of smart grid technologies, integrating the tools and techniques of cloud computing and data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management, information management, and security in the smart grid. The concepts of plug-in hybrid electric vehicle and virtual energy storage are explained in separate chapters. The text covers recent trends in cloud computing and data analytics in the field of smart grid. A glossary of important technical terms is provided for the benefit of the readers.
優惠價: 9 3348
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出版日:2018/11/07 作者:Julia Flanders; Fotis Jannidis  出版社:Taylor & Francis  裝訂:精裝
Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data mode
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出版日:2018/11/05 作者:Ellen B. Mandinach (EDT); Edith Gummer (EDT)  出版社:Routledge  裝訂:精裝
This book addresses the issue of data use in educator preparation programs towards continuous programmatic improvement. With an aim to increase the rigor in both research and practice in educational a
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出版日:2018/11/01 作者:Mariusz Krzysztofek  出版社:Kluwer Law Intl  裝訂:精裝
About this book: GDPR: General Data Protection Regulation (EU) 2016/679 is a comprehensive commentary in the market on the post-reform personal data protection in the European Union (EU). The book of
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出版日:2018/10/30 作者:Heru Susanto; Fang-Yie Leu; Chin Kang Chen  出版社:Apple Academic Pr Inc  裝訂:精裝
Big Data is now highly regarded and accepted as a useful tool to help organizations manage their data and information effectively and efficiently. This new volume, The Emerging Technology of Big Data:
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Data Wrangling With Javascript
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出版日:2018/10/30 作者:Ashley Davis  出版社:PBKMANGN  裝訂:平裝
With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling
優惠價: 79 1501
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出版日:2018/10/29 作者:Carlos N. Bouza-herrera; Amer Ibrahim Falah Al-omari  出版社:Academic Pr  裝訂:平裝
Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation o
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出版日:2018/10/26 作者:Ogundare  出版社:John Wiley & Sons Inc  裝訂:精裝
Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programsRich in theory and concepts, this comprehensive book on least square est
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出版日:2018/10/25 作者:Guoliang Li; Jiannan Wang; Yudian Zheng; Ju Fan; Michael Franklin  出版社:Springer-Nature New York Inc  裝訂:精裝
This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research potential, it particularly focuses on the latest techniques and rec
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出版日:2018/10/24 作者:Seweryn Spalek (EDT)  出版社:Auerbach Pub  裝訂:精裝
This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on h
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出版日:2018/10/20 作者:Yinglin Xia; Jun Sun; Ding-geng Chen  出版社:Springer-Nature New York Inc  裝訂:精裝
This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, a
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出版日:2018/10/18 作者:Turab Lookman (EDT); Stephan Eidenbenz (EDT); Frank Alexander (EDT); Cris Barnes (EDT)  出版社:Springer Nature  裝訂:精裝
This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science a
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出版日:2018/10/12 作者:Weisheng Lu; Chi Cheung Lai; Anthony Tse  出版社:Routledge  裝訂:精裝
This book is designed to help practitioners and students in a wide range of construction project management professions to understand what building information modelling (BIM) and big data could mean
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出版日:2018/10/11 作者:Yannis Charalabidis; Anneke Zuiderwijk; Charalampos Alexopoulos; Marijn Janssen; Johann H鐼htl  出版社:Springer Nature  裝訂:精裝
This book discusses the latest developments in the field of open data. The opening of data by public organizations has the potential to improve the public sector, inspire business innovation, and esta
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This volume constitutes the proceedings of the 6th CCF Conference, Big Data 2018, held in Xi'an, China, in October 2018. The 32 revised full papers presented in this volume were carefully reviewed and
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出版日:2018/10/10 作者:Geoffrey Ellis (EDT)  出版社:Springer-Nature New York Inc  裝訂:精裝
This book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undes
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