Meaningful Graphs
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Meaningful Graphs
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Author : James M. Smith
language : en
Publisher:
Release Date : 2014-06-01
Meaningful Graphs written by James M. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-01 with Computers categories.
Meaningful Graphs is a concise and practical go-to guide for creating charts in Excel (r) that clearly and accurately tell the story in your data. It incorporates (a) explanations of the graph design principles of the experts (Tufte, Few, Robbins, Zelazny, and others), (b) the software steps necessary to incorporate these principles into Excel (r) charts, and (c) chart-related discussions of quality improvement (including Pareto charts), statistics (including run charts and correlations), and the use of graphs in PowerPoint (r) presentations (including chart animation). Also included are numerous "Tips" and "In Practice" examples drawn from over 35 years of working with data in healthcare settings. Coverage begins with highlighting the importance of knowing the story in your data and general principles of chart design (e.g., chartjunk, the use of color, consideration of three dimensional charts) and then proceeds to examine and create the five major chart types (column, bar, line, pie, scatter). This is followed by considerations of the pros and cons of each of the six less frequently employed chart types. There are over 120 graphs in full color plus tables and illustrations. Discussions of the most useful chart types include examples with accompanying data to facilitate practice. While illustrations are especially tailored for healthcare professionals (physicians, nurses, patient safety, quality improvement staff, executives, and managers) both in their work setting and in their academic preparation, the principles of graph design and the Excel (r) techniques required to incorporate these principles apply equally well in other settings. The latter include other industries and academic programs, including those leading to degrees in business administration (MBA), public health (MPH), and public administration (MPA). If you follow the advice in this book, the graphs you create for reports, presentations, posters, or publications will be more informative and more easily understo
Meaningful Charts And Graphs
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Author : Norbert Lloyd Enrick
language : en
Publisher:
Release Date : 1968
Meaningful Charts And Graphs written by Norbert Lloyd Enrick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Industrial management categories.
Meaningful Graphs
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Author : Laying the Foundation
language : en
Publisher:
Release Date : 2008-07
Meaningful Graphs written by Laying the Foundation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07 with categories.
Visualizing Graph Data
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Author : Corey Lanum
language : en
Publisher: Simon and Schuster
Release Date : 2016-11-23
Visualizing Graph Data written by Corey Lanum and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-23 with Computers categories.
Summary Visualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Assume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts. About the Book Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence. What's Inside Techniques for creating effective visualizations Examples using the Gephi and KeyLines visualization packages Real-world case studies About the Reader No prior experience with graph data is required. About the Author Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe. Table of Contents PART 1 - GRAPH VISUALIZATION BASICS Getting to know graph visualization Case studies An introduction to Gephi and KeyLines PART 2 VISUALIZE YOUR OWN DATA Data modeling How to build graph visualizations Creating interactive visualizations How to organize a chart Big data: using graphs when there's too much data Dynamic graphs: how to show data over time Graphs on maps: the where of graph visualization
Heterogeneous Graph Representation Learning And Applications
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Author : Chuan Shi
language : en
Publisher: Springer Nature
Release Date : 2022-01-30
Heterogeneous Graph Representation Learning And Applications written by Chuan Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-30 with Computers categories.
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning. More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.
Maps Charts Graphs Diagrams
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Author : John Carratello
language : en
Publisher: Teacher Created Resources
Release Date : 1996-03
Maps Charts Graphs Diagrams written by John Carratello and has been published by Teacher Created Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03 with Education categories.
With this book, teachers can give students many hands-on opportunities to practice using these visual tools in a meaningful context. Students will learn how to read different types of maps, charts, graphs, and diagrams, as well as how to construct their own. They will learn which visual tools are best for presenting specific types of information.--Page 3.
Meaningful Graphs
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Author : Laying the Foundation
language : en
Publisher:
Release Date : 2008-07
Meaningful Graphs written by Laying the Foundation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07 with categories.
Conceptual Graphs For Knowledge Representation
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Author : Guy W. Mineau
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-07-14
Conceptual Graphs For Knowledge Representation written by Guy W. Mineau and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-07-14 with Computers categories.
Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.
Graph Representation Learning
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Author : William L. Hamilton
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-09-16
Graph Representation Learning written by William L. Hamilton and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-16 with Computers categories.
This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism. Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs -- a nascent but quickly growing subset of graph representation learning.
Conceptual Structures Fulfilling Peirce S Dream
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Author : Dickson Lukose
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-07-16
Conceptual Structures Fulfilling Peirce S Dream written by Dickson Lukose and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-07-16 with Computers categories.
This book constitutes the refereed proceedings of the Fifth International Conference on Conceptual Structures, ICCS '97, held in Seattle, Washington, USA, in August 1997. The 39 full papers presented were carefully selected and revised for inclusion in the volume. Also included are 9 abstracts of conceptual graphs tools. The papers are organized in sections on knowledge representation, knowledge modeling, formal concept analysis, formal reasoning, applications of conceptual graphs, and conceptual graphs tools. This book competently documents the progress achieved in the area since the predecessor conference ICCS '96, the proceedings of which have been published as LNAI 1115.