Information Visualization For Decision Making
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| Author | : Frada Burstein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 827 |
| Release | : 2008-01-22 |
| Genre | : Business & Economics |
| ISBN | : 3540487166 |
As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, it contains more than 70 chapters that approach decision support systems from a wide variety of perspectives. These range from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into ten major sections that novices and experts alike will refer to for years to come.
| Author | : Stuart K. Card |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 718 |
| Release | : 1999-01-25 |
| Genre | : Computers |
| ISBN | : 9781558605336 |
This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas. Features Full-color reproduction throughout Author power team - an exciting and timely collaboration between the field's pioneering, most-respected names The only book on Information Visualization with the depth necessary for use as a text or as a reference for the information professional Text includes the classic source papers as well as a collection of cutting edge work
| Author | : Kristen Sosulski |
| Publisher | : Routledge |
| Total Pages | : 285 |
| Release | : 2018-09-27 |
| Genre | : Business & Economics |
| ISBN | : 135138077X |
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.
| Author | : Benjamin B. Bederson |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 432 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : 1558609156 |
Information visualization is a rapidly growing field that is emerging from research in human-computer interaction, computer science, graphics, visual design, psychology, and business methods. Information visualization is increasingly applied as a critical component in scientific research, digital libraries, data mining, financial data analysis, market studies, manufacturing production control, and drug discovery.
| Author | : Colin Ware |
| Publisher | : Elsevier |
| Total Pages | : 537 |
| Release | : 2013 |
| Genre | : Business & Economics |
| ISBN | : 0123814642 |
"This is a book about what the science of perception can tell us about visualization. There is a gold mine of information about how we see to be found in more than a century of work by vision researchers. The purpose of this book is to extract from that large body of research literature those design principles that apply to displaying information effectively"--
| Author | : Muzaffar Hamzah |
| Publisher | : Universiti Malaysia Sabah Press |
| Total Pages | : 177 |
| Release | : 2020-06-10 |
| Genre | : Computers |
| ISBN | : 9672962509 |
The emergence of big data presents opportunities for corporate organisations to exploit massive data collection for strategical decision-making. Despite having access to these data, managers inherently struggle in taking advantages of available information for decision-making. Visualisation offers enhancement on managerial decision-making process via mental cognitive load reduction using visual representation. Albeit the advances of visualisation tools, visualisation for decision-making is rarely explored, leading to a limited understanding of suitable techniques. This book offers knowledge on leveraging information visualisation as a tool in public managerial decision making. In this book, we introduce a framework for supporting software designers in devising visualisation for decision-making support. Our framework encompasses guidelines on requirements and challenges in identifying decision-relevant information and recommended visualisations to represent it. This book discusses the underlying theories, techniques and models of information visualisation and associated with the decision-making process. This book characterizes processes and roles from organisational practices for extracting relevant information within a corporate data warehouse. The chapters within this book cumulatively demonstrate the information visualisation process in supporting organisational decision making. In addition, this book articulates a comprehensive knowledge of Malaysian public service’s decision-making processes and practices. This book highlights emerging opportunities and challenges in using information visualisation in Malaysia for the future undertaking.
| Author | : Amar Sahay |
| Publisher | : Business Expert Press |
| Total Pages | : 193 |
| Release | : 2017-03-07 |
| Genre | : Business & Economics |
| ISBN | : 1631577328 |
This book discusses data and information visualization techniques-the decision-making tools with applications in health care, finance, manufacturing engineering, process improvement, product design, and others. These tools are an excellent means of viewing the current state of the process and improving them. The initial chapters discuss data analysis, the current trends in visualization, the concepts of systems and processes from which data are collected. The second part is devoted to quality tools-a set of graphical and information visualization tools in data analysis, decision-making, and Lean Six-Sigma quality. The eight basic tools of quality discussed are the Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect Diagrams, and Pareto Charts. The new quality tools presented are the Affinity, Tree, and Matrix Diagrams, Interrelationship Digraph, Prioritizing Matrices, Process Decision Program Chart, and Activity Network Diagram along with Quality Function Deployment (QFD) and Multivari Charts.
| Author | : Frits H. Post |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 445 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461511771 |
Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.
| Author | : Robert Spence |
| Publisher | : Springer |
| Total Pages | : 339 |
| Release | : 2014-11-03 |
| Genre | : Computers |
| ISBN | : 3319073419 |
Information visualization is the act of gaining insight into data, and is carried out by virtually everyone. It is usually facilitated by turning data – often a collection of numbers – into images that allow much easier comprehension. Everyone benefits from information visualization, whether internet shopping, investigating fraud or indulging an interest in art. So no assumptions are made about specialist background knowledge in, for example, computer science, mathematics, programming or human cognition. Indeed, the book is directed at two main audiences. One comprises first year students of any discipline. The other comprises graduates – again of any discipline – who are taking a one- or two-year course of training to be visual and interaction designers. By focusing on the activity of design the pedagogical approach adopted by the book is based on the view that the best way to learn about the subject is to do it, to be creative: not to prepare for the ubiquitous examination paper. The content of the book, and the associated exercises, are typically used to support five creative design exercises, the final one being a group project mirroring the activity of a consultancy undertaking a design (not an implementation) for a client. Engagement with the material of this book can have a variety of outcomes. The composer of a school newsletter and the applicant for a multi-million investment should both be able to convey their message more effectively, and the curator of an exhibition will have new presentational techniques on their palette. For those students training to be visual/interaction designers the exercises have led to original and stimulating outcomes.
| Author | : Noah Iliinsky |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 111 |
| Release | : 2011-09-16 |
| Genre | : Computers |
| ISBN | : 1449317065 |
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types
