Multidimensional Data Visualization

Applied Compositional Data Analysis ― With Worked Examples in R

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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1563.

Graph Data Management ― Fundamental Issues and Recent Developments

出版日：2018/11/12 作者：George H. L. Fletcher (EDT); Jan Hidders (EDT); Josep Llu疄 Larriba-pey (EDT) 出版社：Springer-Verlag New York Inc 裝訂：精裝

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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1564.

Using Visual Data in Qualitative Research

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

無庫存

1565.

Multivariate Analysis of Ecological Data With Ade4

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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1566.

Data Integrity and Data Governance ― Practical Implementation in Regulated Laboratories

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

90 折

1567.

Smart Grid Technology ― A Cloud Computing and Data Management Approach

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

無庫存

1568.

The Shape of Data in Digital Humanities ― Modeling Texts and Text-based Resources

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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1569.

Data for Continuous Programmatic Improvement ― Steps Colleges of Education Must Take to Become a Data Culture

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

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

1570.

Post-Reform Personal Data Protection in the European Union ― General Data Protection Regulation EU 2016/679

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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1571.

The Emerging Technology of Big Data ― Its Impact As a Tool for Ict Development

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:

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

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1572.

Data Wrangling With Javascript

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

無庫存

1573.

Ranked Set Sampling ― 65 Years Improving the Accuracy in Data Gathering

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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1574.

Understanding Least Squares Estimation And Geomatics Data Analysis

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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1575.

Crowdsourced Data Management ― Hybrid Human-machine Data Management

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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1576.

Data Analytics in Project Management

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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1577.

Statistical Analysis of Microbiome Data With R

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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1578.

Materials Discovery and Design ― By Means of Data Science and Optimal Learning

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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1579.

Bim and Big Data for Construction Cost Management

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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1580.

The World of Open Data ― Concepts, Methods, Tools and Experiences

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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1581.

Big Data ― 6th Ccf Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings

出版日：2018/10/11 作者：Zongben Xu (EDT); Xinbo Gao (EDT); Qiguang Miao (EDT); Yunquan Zhang (EDT); Jiajun Bu (EDT) 出版社：Springer-Nature New York Inc 裝訂：平裝

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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1582.

Cognitive Biases in Visualizations

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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1583.

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

出版日：2018/10/10 作者：Hadj Ahmed Bouarara (EDT); Reda Mohamed Hamou (EDT); Amine Rahmani (EDT) 出版社：Engineering Science Reference 裝訂：精裝

"This book focuses on new advancements of exploration, creation and development of metaheuristic algorithms in information retrieval models over big data environment and services. It presents how meta

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Machine Learning: The Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

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1584.

Machine Learning: The Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

出版日：2018/10/10 作者：Herbert Jones 出版社：Createspace Independent Pub 裝訂：平裝

3 comprehensive manuscripts in 1 bookMachine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

優惠價： 1 792

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1585.

Methods for Analyzing and Leveraging Online Learning Data

出版日：2018/10/05 作者：Shalin Hai-jew 出版社：Information Science Reference 裝訂：精裝

"This book helps lay the groundwork for how to use the large amounts of available data from the myriad online learning systems. Its approach of looking at online learning data will advance the field o

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1586.

Data Analysis for Omic Sciences ― Methods and Applications

出版日：2018/10/05 作者：Joaquim Jaumot (EDT); Carmen Bedia (EDT); Rom? Tauler (EDT) 出版社：Elsevier Science Serials 裝訂：精裝

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food a

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Data-driven ― Harnessing Insights and AI to Reinvent Customer Engagement

90 折

1587.

Data-driven ― Harnessing Insights and AI to Reinvent Customer Engagement

出版日：2018/10/05 作者：Tom Chavez; Chris Oara; Vivek Vaidya 出版社：McGraw-Hill 裝訂：精裝

The indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce?the #1 customer relationship management (CRM) company in the world A t

優惠價： 9 1094

無庫存

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1588.

Social Media Data Mining And Analytics

出版日：2018/10/05 作者：Szabo 出版社：John Wiley & Sons Inc 裝訂：平裝

Harness the power of social media to predict customer behavior and improve salesSocial media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data

優惠價： 9 1539

無庫存

1589.

Data Science for Business and Decision Making

出版日：2018/10/01 作者：Luiz Favero; Patricia Favero 出版社：Academic Pr 裝訂：平裝

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the pr

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1590.

Data As Infrastructure for Smart Cities

出版日：2018/09/30 作者：Larissa Romualdo Suzuki; Anthony C. W. Finkelstein 出版社：Inst of Engineering & Technology 裝訂：精裝

This book describes how smart cities can be designed with data at their heart, moving from a broad vision to a consistent city-wide collaborative configuration of activities. The authors present a com

優惠價： 79 5510

無庫存

1591.

Big Data for Managers ― Creating Value

出版日：2018/09/27 作者：Atal Malviya; Mike Malmgren 出版社：Routledge 裝訂：精裝

In today’s fast growing digital world the web, mobile, social networks, and other digital platforms are producing enormous amounts of data that hold intelligence and valuable information. Correctly us

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Ux Optimization ― Combining Behavioral Ux and Usability Testing Data to Optimize Websites

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1592.

Ux Optimization ― Combining Behavioral Ux and Usability Testing Data to Optimize Websites

出版日：2018/09/27 作者：W. Craig Tomlin 出版社：Apress 裝訂：平裝

Combine two typically separate sources of data—behavioral quantitative data and usability testing qualitative data—into a powerful single tool that helps improve your organization’s website by increas

優惠價： 1 2470

無庫存

90 折

1593.

Big Data for Managers ― Creating Value

出版日：2018/09/27 作者：Atal Malviya; Mike Malmgren 出版社：Routledge 裝訂：平裝

In today’s fast growing digital world the web, mobile, social networks, and other digital platforms are producing enormous amounts of data that hold intelligence and valuable information. Correctly us

優惠價： 9 2699

無庫存

1594.

Morphogen Gradients ― Methods and Protocols

出版日：2018/09/24 作者：Julien Dubrulle (EDT) 出版社：Humana Pr Inc 裝訂：精裝

This detailed book presents methods focusing on the visualization of morphogen gradients, the analysis of their biophysical and biological properties, and the theoretical aspects underlying their func

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1595.

Big Data Analytics in Future Power Systems

出版日：2018/09/24 作者：Edited by Ahmed F. Zobaa and Trevor J. Bihl 出版社：CRC Pr I Llc 裝訂：精裝

The book evaluates how the emerging growth of data in communications network applied to smart grids will impact the grid efficiency and reliability. Security of communication networks is a concern for

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1596.

Data Science Foundations Tools and Techniques ― Core Skills for Quantitative Analysis With R and Git

出版日：2018/09/23 作者：Michael Freeman; Joel Ross 出版社：Addison-Wesley Professional 裝訂：平裝

This unique guide brings together all the skills you need to get started with data science -- one of the world’s fastest growing fields! Leading data science instructors Michael Freeman and Joel

優惠價： 1 2500

無庫存

1597.

Longitudinal Data Analysis ― Autoregressive Linear Mixed Effects Models

出版日：2018/09/22 作者：Ikuko Funatogawa; Takashi Funatogawa 出版社：Springer Verlag 裝訂：平裝

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response

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1598.

Computational Intelligence and Big Data Analytics ― Applications in Bioinformatics

出版日：2018/09/22 作者：Ch. Satyanarayana; Kunjam Nageswara Rao; Richard G Bush 出版社：Springer-Nature New York Inc 裝訂：平裝

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence tech

優惠價： 1 3499

無庫存

1599.

Secure Networked Inference With Unreliable Data Sources

出版日：2018/09/14 作者：Aditya Vempaty; Bhavya Kailkhura; Pramod K. Varshney 出版社：Springer-Nature New York Inc 裝訂：精裝

The book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs

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1600.

Artificial Intelligent Methods for Handling Spatial Data ― Fuzzy Rulebase Systems and Gridded Data Problems

出版日：2018/09/11 作者：J顤g Verstraete 出版社：Springer-Nature New York Inc 裝訂：精裝

This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra

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熱搜：

Multidimensional Data Visualization

Personal Data in Competition, Consumer Protection and Intellectual Property Law ― Towards a Holistic Approach?

Applied Compositional Data Analysis ― With Worked Examples in R

Graph Data Management ― Fundamental Issues and Recent Developments

Using Visual Data in Qualitative Research

Multivariate Analysis of Ecological Data With Ade4

Data Integrity and Data Governance ― Practical Implementation in Regulated Laboratories

Smart Grid Technology ― A Cloud Computing and Data Management Approach

The Shape of Data in Digital Humanities ― Modeling Texts and Text-based Resources

Data for Continuous Programmatic Improvement ― Steps Colleges of Education Must Take to Become a Data Culture

Post-Reform Personal Data Protection in the European Union ― General Data Protection Regulation EU 2016/679

The Emerging Technology of Big Data ― Its Impact As a Tool for Ict Development

Data Wrangling With Javascript

Ranked Set Sampling ― 65 Years Improving the Accuracy in Data Gathering

Understanding Least Squares Estimation And Geomatics Data Analysis

Crowdsourced Data Management ― Hybrid Human-machine Data Management

Data Analytics in Project Management

Statistical Analysis of Microbiome Data With R

Materials Discovery and Design ― By Means of Data Science and Optimal Learning

Bim and Big Data for Construction Cost Management

The World of Open Data ― Concepts, Methods, Tools and Experiences

Big Data ― 6th Ccf Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings

Cognitive Biases in Visualizations

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

Machine Learning: The Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

Methods for Analyzing and Leveraging Online Learning Data

Data Analysis for Omic Sciences ― Methods and Applications

Data-driven ― Harnessing Insights and AI to Reinvent Customer Engagement

Social Media Data Mining And Analytics

Data Science for Business and Decision Making

Data As Infrastructure for Smart Cities

Big Data for Managers ― Creating Value

Ux Optimization ― Combining Behavioral Ux and Usability Testing Data to Optimize Websites

Big Data for Managers ― Creating Value

Morphogen Gradients ― Methods and Protocols

Big Data Analytics in Future Power Systems

Data Science Foundations Tools and Techniques ― Core Skills for Quantitative Analysis With R and Git

Longitudinal Data Analysis ― Autoregressive Linear Mixed Effects Models

Computational Intelligence and Big Data Analytics ― Applications in Bioinformatics

Secure Networked Inference With Unreliable Data Sources

Artificial Intelligent Methods for Handling Spatial Data ― Fuzzy Rulebase Systems and Gridded Data Problems