Graph Analysis and Visualization

Author: Richard Brath
Publisher: John Wiley & Sons
ISBN: 1118845692
Category : Computers
Languages : en
Pages : 539

Book Description
Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

Graph Analysis and Visualization

Author: Richard Brath
Publisher: John Wiley & Sons
ISBN: 1118845870
Category : Computers
Languages : en
Pages : 544

Social Network Forensics, Cyber Security, and Machine Learning

Author: P. Venkata Krishna
Publisher: Springer
ISBN: 981131456X
Category : Technology & Engineering
Languages : en
Pages : 116

Book Description
This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.

Development Methodologies for Big Data Analytics Systems

Author: Manuel Mora
Publisher: Springer Nature
ISBN: 3031409566
Category : Technology & Engineering
Languages : en
Pages : 289

Book Description
This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.

Data Management Technologies and Applications

Author: Christoph Quix
Publisher: Springer
ISBN: 3030266362
Category : Computers
Languages : en
Pages : 211

Book Description
This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.

How to Design and Develop a Business Research Project

Author: Bart Cambré
Publisher: Edward Elgar Publishing
ISBN: 1035307847
Category : Business & Economics
Languages : en
Pages : 271

Book Description
Through a fascinating exploration of the advantages and pitfalls of business research methods, this essential book encourages the reader to make well-informed decisions in an often fast-paced environment. It sets out key rules and procedures to ultimately improve the accuracy and authenticity of research ventures.

Data Visualisation with R

Author: Thomas Rahlf
Publisher: Springer Nature
ISBN: 3030284441
Category : Computers
Languages : en
Pages : 451

Book Description
This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.

Explainable Artificial Intelligence

Author: Luca Longo
Publisher: Springer Nature
ISBN: 3031637976
Category :
Languages : en
Pages : 529

Book Description

Technology and Applications of Polymers Derived from Biomass

Author: Syed Ali Ashter
Publisher: William Andrew
ISBN: 0323511163
Category : Technology & Engineering
Languages : en
Pages : 288

Book Description
Technology and Applications of Polymers Derived from Biomass explores the range of different possible routes from biomass to polymeric materials, including the value and limitations of using biomass in material applications and a comparison of petrochemical-derived polymers and bio-based polymers. The book discusses biomass sources, types, chemistry and handling concerns. It covers the manufacture of industrial chemicals from biomass and the derivation of monomers and polymers from biomass. It also details the processing and applications of biomass-derived polymers to enable materials scientists and engineers realize the potential of biomass as a sustainable source of polymers, including plastics and elastomers. The book is a one-stop-shop reference—giving students a basic understanding of the technology and how the material can be applied to industrial processes they will face in the workforce, and giving materials engineers and product designers the information they need to make more informed material selection decisions. Provides fundamental understanding of an increasingly important approach to sourcing polymeric materials Includes actionable, relevant information to enable materials engineers and product designers consider biomass-derived polymers in the products they are developing Discusses the environmental impact of biomass conversion to help readers improve the sustainability of their operations Compares petrochemical-derived polymers with bio-based polymers

Visualizing Graph Data

Author: Corey Lanum
Publisher: Simon and Schuster
ISBN: 1638352488
Category : Computers
Languages : en
Pages : 337

Book Description
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