Visual Insights


Visual Insights
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Visual Insights


Visual Insights
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Author : Katy Borner
language : en
Publisher: MIT Press
Release Date : 2014-01-24

Visual Insights written by Katy Borner and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-24 with Language Arts & Disciplines categories.


A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations. In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to use open code and open data to design insightful visualizations. Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data. The book, developed for use in an information visualization MOOC, covers data analysis algorithms that enable extraction of patterns and trends in data, with chapters devoted to “when” (temporal data), “where” (geospatial data), “what” (topical data), and “with whom” (networks and trees); and to systems that drive research and development. Examples of projects undertaken for clients include an interactive visualization of the success of game player activity in World of Warcraft; a visualization of 311 number adoption that shows the diffusion of non-emergency calls in the United States; a return on investment study for two decades of HIV/AIDS research funding by NIAID; and a map showing the impact of the HiveNYC Learning Network. Visual Insights will be an essential resource on basic information visualization techniques for scholars in many fields, students, designers, or anyone who works with data.



Data Visualization Made Simple


Data Visualization Made Simple
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Author : Kristen Sosulski
language : en
Publisher: Routledge
Release Date : 2018-09-27

Data Visualization Made Simple written by Kristen Sosulski and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Business & Economics categories.


Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.



The Visual Imperative


The Visual Imperative
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Author : Lindy Ryan
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-03-14

The Visual Imperative written by Lindy Ryan and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-14 with Computers categories.


Data is powerful. It separates leaders from laggards and it drives business disruption, transformation, and reinvention. Today’s most progressive companies are using the power of data to propel their industries into new areas of innovation, specialization, and optimization. The horsepower of new tools and technologies have provided more opportunities than ever to harness, integrate, and interact with massive amounts of disparate data for business insights and value – something that will only continue in the era of the Internet of Things. And, as a new breed of tech-savvy and digitally native knowledge workers rise to the ranks of data scientist and visual analyst, the needs and demands of the people working with data are changing, too. The world of data is changing fast. And, it’s becoming more visual. Visual insights are becoming increasingly dominant in information management, and with the reinvigorated role of data visualization, this imperative is a driving force to creating a visual culture of data discovery. The traditional standards of data visualizations are making way for richer, more robust and more advanced visualizations and new ways of seeing and interacting with data. However, while data visualization is a critical tool to exploring and understanding bigger and more diverse and dynamic data, by understanding and embracing our human hardwiring for visual communication and storytelling and properly incorporating key design principles and evolving best practices, we take the next step forward to transform data visualizations from tools into unique visual information assets. Discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analytics Provides practicable and use case-based experience from advisory work with Fortune 100 and 500 companies across multiple verticals Presents the next-generation of visual discovery, data storytelling, and the Five Steps to Data Storytelling with Visualization Explains the Convergence of Visual Analytics and Visual discovery, including how to use tools such as R in statistical and analytic modeling Covers emerging technologies such as streaming visualization in the IOT (Internet of Things) and streaming animation



Making Data Visual


Making Data Visual
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Author : Danyel Fisher
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-12-20

Making Data Visual written by Danyel Fisher and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-20 with Computers categories.


"You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--



Visual Communication


Visual Communication
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Author : Janis Teruggi Page
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-15

Visual Communication written by Janis Teruggi Page and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Social Science categories.


Teaches visual literacy, theory, scholarly critique, and practical application of visuals in professional communication careers Visual Communication: Insights and Strategies explores visual imagery in advertising, news coverage, political discourse, popular culture, and digital and social media technologies. It is filled with insights into the role of visuals in our dynamic social environment and contains strategies on how to use them. The authors provide an overview of theoretically-informed literacy and critical analysis of visual communication and demonstrate the ways in which we can assess and apply this knowledge in the fields of advertising, public relations, journalism, organizational communication, and intercultural communication. This important book: Reveals how to analyze visual imagery Introduces a 3-step process, Research-Evaluate-Create, to apply the knowledge gained Combines research, theory, and professional practice of visual communication Designed for undergraduate and graduate courses in visual communication as well as visual rhetoric, visual literacy, and visual culture, Visual Communication: Insights and Strategies reveals how to apply rhetorical theories to visual imagery.



Database And Expert Systems Applications


Database And Expert Systems Applications
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Author : Sven Hartmann
language : en
Publisher: Springer Nature
Release Date : 2020-09-13

Database And Expert Systems Applications written by Sven Hartmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-13 with Computers categories.


The double volumes LNCS 12391-12392 constitutes the papers of the 31st International Conference on Database and Expert Systems Applications, DEXA 2020, which will be held online in September 2020. The 38 full papers presented together with 20 short papers plus 1 keynote papers in these volumes were carefully reviewed and selected from a total of 190 submissions.



Evaluation In The Crowd Crowdsourcing And Human Centered Experiments


Evaluation In The Crowd Crowdsourcing And Human Centered Experiments
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Author : Daniel Archambault
language : en
Publisher: Springer
Release Date : 2017-09-27

Evaluation In The Crowd Crowdsourcing And Human Centered Experiments written by Daniel Archambault and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-27 with Computers categories.


As the outcome of the Dagstuhl Seminar 15481 on Crowdsourcing and Human-Centered Experiments, this book is a primer for computer science researchers who intend to use crowdsourcing technology for human centered experiments. The focus of this Dagstuhl seminar, held in Dagstuhl Castle in November 2015, was to discuss experiences and methodological considerations when using crowdsourcing platforms to run human-centered experiments to test the effectiveness of visual representations. The inspiring Dagstuhl atmosphere fostered discussions and brought together researchers from different research directions. The papers provide information on crowdsourcing technology and experimental methodologies, comparisons between crowdsourcing and lab experiments, the use of crowdsourcing for visualisation, psychology, QoE and HCI empirical studies, and finally the nature of crowdworkers and their work, their motivation and demographic background, as well as the relationships among people forming the crowdsourcing community.



Deep Learning Networks


Deep Learning Networks
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Author : Jayakumar Singaram
language : en
Publisher: Springer Nature
Release Date : 2023-12-03

Deep Learning Networks written by Jayakumar Singaram and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-03 with Technology & Engineering categories.


This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems.



Natural Language Interfaces To Databases


Natural Language Interfaces To Databases
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Author : Yunyao Li
language : en
Publisher: Springer Nature
Release Date : 2023-11-24

Natural Language Interfaces To Databases written by Yunyao Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-24 with Computers categories.


This book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making. After first demonstrating the importance of the field using an interactive ChatGPT session, the book explores the remarkable progress and general challenges faced with real-world deployment of NLIDBs. It goes on to provide readers with a holistic understanding of the intricate anatomy, essential components, and mechanisms underlying NLIDBs and how to build them. Key concepts in representing, querying, and processing structured data as well as approaches for optimizing user queries are established for the reader before their application in NLIDBs is explored. The book discusses text to data through early relevant work on semantic parsing and meaning representation before turning to cutting-edge advancements in how NLIDBs are empowered to comprehend and interpret human languages. Various evaluation methodologies, metrics, datasets and benchmarks that play a pivotal role in assessing the effectiveness of mapping natural language queries to formal queries in a database and the overall performance of a system are explored. The book then covers data to text, where formal representations of structured data are transformed into coherent and contextually relevant human-readable narratives. It closes with an exploration of the challenges and opportunities related to interactivity and its corresponding techniques for each dimension, such as instances of conversational NLIDBs and multi-modal NLIDBs where user input is beyond natural language. This book provides a balanced mixture of theoretical insights, practical knowledge, and real-world applications that will be an invaluable resource for researchers, practitioners, and students eager to explore the fundamental concepts of NLIDBs.



Ibm Watson Projects


Ibm Watson Projects
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Author : James D. Miller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-29

Ibm Watson Projects written by James D. Miller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-29 with Computers categories.


Incorporate intelligence to your data-driven business insights and high accuracy business solutions Key FeaturesExplore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learningBuild projects to adopt IBM Watson across retail, banking, and healthcareLearn forecasting, anomaly detection, and pattern recognition with ML techniquesBook Description IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience. What you will learnBuild a smart dialog system with cognitive assistance solutionsDesign a text categorization model and perform sentiment analysis on social media datasetsDevelop a pattern recognition application and identify data irregularities smartlyAnalyze trip logs from a driving services company to determine profitProvide insights into an organization's supply chain data and processesCreate personalized recommendations for retail chains and outletsTest forecasting effectiveness for better sales prediction strategiesWho this book is for This book is for data scientists, AI engineers, NLP engineers, machine learning engineers, and data analysts who wish to build next-generation analytics applications. Basic familiarity with cognitive computing and sound knowledge of any programming language is all you need to understand the projects covered in this book.