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Richard Brath Graph Analysis and Visualization. Discovering Business Opportunity in Linked Data


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.

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Kupe Kupersmith Business Analysis For Dummies


Your go-to guide on business analysis Business analysis refers to the set of tasks and activities that help companies determine their objectives for meeting certain opportunities or addressing challenges and then help them define solutions to meet those objectives. Those engaged in business analysis are charged with identifying the activities that enable the company to define the business problem or opportunity, define what the solutions looks like, and define how it should behave in the end. As a BA, you lay out the plans for the process ahead. Business Analysis For Dummies is the go to reference on how to make the complex topic of business analysis easy to understand. Whether you are new or have experience with business analysis, this book gives you the tools, techniques, tips and tricks to set your project’s expectations and on the path to success. Offers guidance on how to make an impact in your organization by performing business analysis Shows you the tools and techniques to be an effective business analysis professional Provides a number of examples on how to perform business analysis regardless of your role If youre interested in learning about the tools and techniques used by successful business analysis professionals, Business Analysis For Dummies has you covered.

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Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining


The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

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Rudis Bob Data-Driven Security. Analysis, Visualization and Dashboards


Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. Youll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

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Bichot Charles-Edmond Graph Partitioning


Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made. This book brings together the knowledge accumulated during many years to extract both theoretical foundations of graph partitioning and its main applications.

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Nathan Yau Data Points. Visualization That Means Something


A fresh look at visualization from the author of Visualize This Whether its statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the authors own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

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Dehmer Matthias Analysis of Complex Networks. From Biology to Linguistics


Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.

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Andrew Wheeler SPSS Statistics for Data Analysis and Visualization


Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. Youll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users dont encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These «hidden tools» can help you produce charts that simply wouldnt be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If youre ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.

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Carole Engle R. Aquaculture Economics and Financing. Management Analysis


Aquaculture Economics and Financing: Management and Analysis provides a detailed and specific set of guidelines for using economic and financial analysis in aquaculture production. By discussing key issues such as how to finance and plan new aquaculture business, how to monitor and evaluate economic performance, and how to manage capital, labor, and business risk, the book equips aquaculture professionals, researchers, and students with important information applicable to a wide range of business decisions. Chapters address each stage of developing an aquaculture business, including financing, marketing, and developing a business plan to managing cash flows and analyzing financial statements. Each chapter includes a detailed example of practical application taken from every-day experience. Written in straightforward terminology facilitating ready application, Aquaculture Economics and Financing: Management and Analysis is an essential tool for analyzing and improving financial performance of aquaculture operations.

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Stephen Tou Visualization of Fields and Applications in Engineering


Driven by advances in computer technology, engineering analysis has developed rapidly and extensively in recent times; Visualization of Fields and Applications in Engineering presents the basic techniques for tensor field visualization and mapping of engineering data. Focusing on the fundamental aspects of post processing databases and applications outputs, the author explores existing theories and their integration in tensor field visualization and analysis. The subject covers fundamental theories through to integrated, multi-disciplinary technologies with practical applications in engineering, computer /general sciences. Visualization of Fields and Applications in Engineering is suitable for academic use and to serve as a source of reference. It will appeal to those who work in the engineering and science professions or in pursuit of academic training/ research. Offers a unique engineering approach to basic techniques for tensor field visualization and mapping Collates together material currently disseminated throughout the literature into one accessible point of reference Presents examples with applications beyond and across many disciplines.

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Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis


Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networks An introduction to complex networks—measures, statistical properties, and models Modeling for evolving biological networks The structure of an evolving random bipartite graph Density-based enumeration in structured data Hyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.

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graphx Archives - Linkurious

in Graph Viz 101; Richard Brath & David Jonker, authors of “Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data”, recently sat down with us for an interview. These two experts shared their views on the role of graph visualization, how companies can use it and where it’s going. Can you introduce yourselves ...

Richard Brath - FITC

Together with David Jonker, Richard published Graph Analysis and Visualization with Wiley books (2015). Richard is a partner at Uncharted Software. He had degrees in both design and software and remains active in research including an in-progress PhD in text analytics and visualization.

Graph Analysis and Visualization: Discovering Business ...

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 ...

Richard Brath: Depicting Details: More Insights with Data ...

Abstract: Many visualizations today roll up all the data into representations that summarize data resulting in loss of detail. In contrast, I'll discuss visualization techniques that depict more of the underlying data to reveal insights that may be otherwise overlooked.

Breadth-first search - Wikipedia

In the analysis of algorithms, the input to breadth-first search is assumed to be a finite graph, represented explicitly as an adjacency list or similar representation. However, in the application of graph traversal methods in artificial intelligence the input may be an implicit representation of an infinite graph. In this context, a search ...

Algorithms for solving the Rubik's cube - DiVA portal

There are di erent computational algorithms for solving the Rubik’s cube, such as Thistlewaite’s algorithm, Kociemba’s algorithm and IDA* search algorithm. This thesis evaluates the e ciency of two algorithms by analyzing time, performance and how many moves are required to solve the Rubik’s cube. The results show that the Thistlewaite ...

Graph Analysis and Visualization Discovering Business ...

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Big Data - Graph Analysis and Visualization - Wiley Online ...

Graph databases and query languages provide a powerful and scalable interface for selecting nodes of interest and exploring characteristics of the surrounding neighborhood. This chapter begins with an overview of back‐end graph systems for Big Data using a practical example and then examines visualization techniques and technologies ...

Richard Brath | LibraryThing

Richard Brath, author of Graph Analysis and Visualization: Discovering Business Opportunity in…, on LibraryThing LibraryThing is a cataloging and social networking site for booklovers Home Groups Talk Zeitgeist

Graph Analysis and Visualization: Discovering Business ...

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 ...

Graph Analysis and Visualization: Discovering Business in ...

Richard Brath and David Jonker bring graph theory out of the lab and into the real world. This guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities.In full color, the book describes the process of creating

Graph Analysis and Visualization: Discovering Business ...

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 ...

Part 3: Visual Analysis of Graphs - Graph Analysis and ...

Part 3 Visual Analysis of Graphs This part of the book considers some of different types of graphs and example of associated analyses over the next five chapters. Table P3-1 … - Selection from Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data [Book]

Holdings: Graph Analysis and Visualization

Graph Analysis and Visualization : Discovering Business Opportunity in Linked Data. 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 ...

David Jonker eBooks | epub and pdf downloads | eBookMall

Download eBooks by author David Jonker. Guaranteed best prices, direct download!

Graph Analysis and Visualization: Richard Brath, David ...

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.

Big Data Spatial and Graph Hands On Labs and Summit ’16 ...

Big Data Spatial and Graph Hands On Labs and Summit ’16 Slides in the OTN!! Jean Ihm Product Manager, Oracle Spatial and Graph . Guest Post By: Tracy McLane, GIS Manager at Bechtel and Vice Chair of the Oracle Spatial and Graph SIG . On Tuesday, the slides from the Oracle Spatial and Graph Summit at BIWA 2016 were posted to the Oracle Technology Network (OTN), which you can now access from ...

[FREE] PDF Graph Analysis and Visualization: Discovering ...

Epub. [FREE] PDF Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data FOR KINDLE FOR IPAD Get now http://bit.ly/2FZaVDy Graph A…

Richard brath graph analysis and visualization discovering business opportunity. Graph Analysis and Visualization: Discovering Business ...

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 ...

Richard Brath eBooks | epub and pdf downloads | eBookMall

Download eBooks by author Richard Brath. Guaranteed best prices, direct download! Search. Richard Brath eBooks Epub and PDF format Richard Brath eBooks. eBooks found: 1. Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data. Richard Brath & David Jonker. Wiley, January 2015. ISBN: 9781118845844 Format: PDF, ePub. Our price: $ 40.99. The Girl's Guide to Kicking Your ...

Graph Analysis and Visualization [PDF] - 教育 - IT计算机 - 架构 ...

Graph Analysis and Visualization 书籍信息 作 者:David Jonker, Richard Brath 出版社:- 出版年:2015 ISBN:1118845846 版 本:第 1 版 页 数:538 页 书籍介绍 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.

Buchhinweis:Graph Analysis and Visualization: Discovering ...

Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data. Von Richard Brath und David Jonker. 5445 Seiten, Indianapolis, Ind.: Wiley, März 2015.

Richard brath graph analysis and visualization discovering business opportunity. Graph Analysis and Visualization (eBook, PDF) von David ...

Richard Brath is actively involved in the research,design, and development of data visualization and visual analyticsfor both research and commercial applications for some of theworld's largest companies and top software vendors.

Amazon.com: Graph Analysis and Visualization: Discovering ...

Graph Analysis and Visualization brings graph and network theory out of the lab into the real world, with sophisticated methods and tools that apply to the worlds of business, finance, strategy, and design. Authors Richard Brath and David Jonker bring high-level expertise and a true analyst’s perspective to provide a handbook for exploiting ...

Graph Analysis and Visualization - O'Reilly Media

Graph Analysis and Visualization brings graph and network theory out of the lab into the real world, with sophisticated methods and tools that apply to the worlds of business, finance, strategy, and design. Authors Richard Brath and David Jonker bring high-level expertise and a true analyst’s perspective to provide a handbook for exploiting graph and network analytic techniques that enable ...

Strata | Big Data / Analytics

Graph Analysis and Visualization Richard Brath, David Jonker. Download a sample chapter. 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. Learn More . Related Articles. Learning to Work with R. Why Text Mining Is Hard: The Challenge of ...

The 10 Best Data Visualization Articles of 2016 (and Why ...

2016 was an astounding year for insightful, informative data visualization articles — here were the top 10 I saw all year (in no particular order), in each case including a representative quote ...

Graph Analysis and Visualization (豆瓣)

Graph Analysis and Visualization的话题 · · · · · · ( 全部 条) 什么是话题 无论是一部作品、一个人,还是一件事,都往往可以衍生出许多不同的话题。

Richard Brath - Partner - Uncharted Software Inc | LinkedIn

View Richard Brath’s profile on LinkedIn, the world's largest professional community. Richard has 1 job listed on their profile. See the complete profile on LinkedIn and discover Richard’s ...

《图分析与可视化:在关联数据中发现商业机会》((美)布莱斯(Richard Brath),(美)琼克(David ...

《图分析与可视化:在关联数据中发现商业机会》((美)布莱斯(Richard Brath),(美)琼克(David Jonker))内容简介: 图的作用是表示两种事物之间的连接,揭示数据中关系的结构和本质。关系是理解事物“为什么”以及“如何做到”的基础,这也是图分析和 ...

Richard III Analysis - Shmoop

Richard III ends like every other Shakespearean tragedy – there's some major bloodshed and our hero/protagonist goes down pretty hard during the Battle of Bosworth Field.But even though the final...

Richard Brath - Google Scholar Citations

This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile.

Graph Analysis and Visualization - E-bok - Brath Richard ...

Pris: 609 kr. E-bok, 2015. Laddas ned direkt. Köp Graph Analysis and Visualization av Brath Richard Brath, Jonker David Jonker på Bokus.com.

Graph analysis and visualization: discovering business ...

Graph analysis and visualization: discovering business opportunity in linked data By Richard Brath and David Jonker Topics: Computing and Computers

[PDF] Spreadsheet Validation and Analysis through Content ...

Visualizing spreadsheet content provides analytic insight and visual validation of large amounts of spreadsheet data. Oculus Excel Visualizer is a point and click data visualization experiment which directly visualizes Excel data and re-uses the layout and formatting already present in the spreadsheet.

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Wring more out of the data with a scientific approach to analysisGraph 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 ...

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About the Authors Richard Brath is actively involved in the research, design, and development of data visualization and visual analytics for both research and commercial applications. His solutions range from … - Selection from Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data [Book]

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Graph Analysis and Visualization | Wiley Online Books

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 ...

Graph Analysis and Visualization: Discovering Business ...

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 ...

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Richard Brath (Author of Graph Analysis and Visualization)

Richard Brath is the author of Graph Analysis and Visualization (3.57 avg rating, 14 ratings, 1 review, published 2015), Graph Analysis and Visualization...

Graph Analysis and Visualization (eBook, PDF) von David ...

Richard Brath is actively involved in the research,design, and development of data visualization and visual analyticsfor both research and commercial applications for some of theworld's largest companies and top software vendors.

Roland Barthes - Wikipedia

Biography Early life. Roland Barthes was born on 12 November in the town of Cherbourg in Normandy. His father, naval officer Louis Barthes, was killed in a battle during World War I in the North Sea before Barthes' first birthday.

Todos los libros del autor Brath Richard

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Graph Analysis and Visualization by Richard Brath ...

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 ...

Graph Analysis

This video includes the basics of graph analysis.

Mechanical Ventilation Waveform Analysis

This video from the AARC’s Professors Rounds series shows how mechanical ventilation waveforms can be useful to the respiratory therapist tailoring the venti...

Graph Analysis and Visualization - I Programmer

The title of this book may suggest heavy numerical analysis, but its subtitle, Discovering Business Opportunity in Linked Data, gives a clearer idea of what it covers – graphs and how they can be used to solve business problems. The graphs in question aren’t bar or line charts, they’re node

Jeffrey Hooke C. Security Analysis and Business Valuation on Wall Street. A Comprehensive Guide to Todays Methods


An insiders look at security analysis and business valuation, as practiced by Wall Street, Corporate America, and international businesses Two major market crashes, numerous financial and accounting scandals, growth in private equity and hedge funds, Sarbanes Oxley and related regulations, and international developments changed security analysis and business valuation substantially over the last fourteen years. These events necessitated a second edition of this modern classic, praised earlier by Barrons as a «welcome successor to Graham and Dodd» and used in the global CFA exam. This authoritative book shows the rational, rigorous analysis is still the most successful way to evaluate securities. It picks up where Graham and Dodds bestselling Security Analysis – for decades considered the definitive word on the subject – leaves off. Providing a practical viewpoint, Security Analysis on Wall Street shows how the values of common stock are really determined in todays marketplace. Incorporating dozens of real-world examples, and spotlighting many special analysis cases – including cash flow stocks, unusual industries and distressed securities – this comprehensive resources delivers all the answers to your questions about security analysis and corporate valuation on Wall Street. The Second Edition of Security Analysis on Wall Street examines how mutual funds, private equity funds, hedge funds, institutional money managers, investment banks, business appraisers, and corporate acquirers perform their craft of security analysis and business valuation in todays highly charged environment. Completely updated to reflect the latest methodologies, this reliable resource represents the most comprehensive book written by someone who has actually worked as an investment banker, private equity executive, and international institutional investor. Shows the methodical process that practitioners use to value common stocks and operating companies and to make buy/sell decisions Discusses the impact of the two stock market crashes, the accounting and financial scandals, and the new regulations on the evaluation process Covers how Internet and computing power automate portions of the research and analytical effort Includes new case study examples representative of valuation issues faced daily by mutual funds, private equity funds, hedge funds, institutional investors, investment banks, business appraisers, and corporate acquirers Is a perfect tool for professors wishing to show their MBA students the essential tools of equity and business valuation Security analysis and business valuation are core financial disciplines for Wall Streeters, corporate acquirers, and international investors. The Second Edition of Security Analysis on Wall Street is an important book for anyone who needs a solid grounding in these critical finance topics.

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Helen Armstrong Social Network Analysis with Applications


A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.

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Patrick LeBlanc Applied Microsoft Business Intelligence


Leverage the integration of SQL Server and Office for more effective BI Applied Microsoft Business Intelligence shows you how to leverage the complete set of Microsoft tools—including Microsoft Office and SQL Server—to better analyze business data. This book provides best practices for building complete BI solutions using the full Microsoft toolset. You will learn how to effectively use SQL Server Analysis and Reporting Services, along with Excel, SharePoint, and other tools to provide effective and cohesive solutions for the enterprise. Coverage includes BI architecture, data queries, semantic models, multidimensional modeling, data analysis and visualization, performance monitoring, data mining, and more, to help you learn to perform practical business analysis and reporting. Written by an author team that includes a key member of the BI product team at Microsoft, this useful reference provides expert instruction for more effective use of the Microsoft BI toolset. Use Microsoft BI suite cohesively for more effective enterprise solutions Search, analyze, and visualize data more efficiently and completely Develop flexible and scalable tabular and multidimensional models Monitor performance, build a BI portal, and deploy and manage the BI Solution

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David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization


Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods that can be used in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when dealing with various multivariate structures in univariate, bivariate, trivariate, and quadrivariate data analysis. Continuing to illustrate the major concepts in the context of the classical histogram, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition also features: Over 150 updated figures to clarify theoretical results and to show analyses of real data sets An updated presentation of graphic visualization using computer software such as R A clear discussion of selections of important research during the past decade, including mixture estimation, robust parametric modeling algorithms, and clustering More than 130 problems to help readers reinforce the main concepts and ideas presented Boxed theorems and results allowing easy identification of crucial ideas Figures in color in the digital versions of the book A website with related data sets Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition is an ideal reference for theoretical and applied statisticians, practicing engineers, as well as readers interested in the theoretical aspects of nonparametric estimation and the application of these methods to multivariate data. The Second Edition is also useful as a textbook for introductory courses in kernel statistics, smoothing, advanced computational statistics, and general forms of statistical distributions.

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