Essays in Honor of William N. Kinnard, Jr.

Essays in Honor of William N. Kinnard, Jr.

Author: C.F. Sirmans

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 339

ISBN-13: 1441989536

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The first section of the book contains seven original essays, arranged in order to coincide with Bill's (chronological) professional career. These essays cover a wide variety of real estate topics, including valuation theory, definition of market value, market analysis, the appraisal process, role of the appraiser as an expert witness, valuation under environmental contamination, and international real estate issues. The second section of the book reprints eleven of Bill's most influential papers, selected with the help of forty of his colleagues. These articles, written by Bill and various co-authors, represent only a portion of his contributions to real estate theory and practice. They are "classics" in real estate education. The final section contains personal reflections by colleagues, family and friends of Bill. One of Bill's most influential publications is his classic text, "Income Property Valuation", and is frequently cited in the testimonials. These testimonials provide clear evidence that Bill was an excellent teacher and real estate professional. He truly cared about his students and colleagues and worked hard to move the real estate profession forward.


Essays in Honor of James A. Graaskamp: Ten Years After

Essays in Honor of James A. Graaskamp: Ten Years After

Author: James R. DeLisle

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 444

ISBN-13: 1461517036

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As the title indicates, Essays in Honor of James A. Graaskamp: Ten Years After, is a collection of essays written to honor Graaskamp's major contributions to the field of real estate education and practice over the course of three decades. Upon his death in 1988, the industry lost a major influence for advancing the real estate discipline, both as an academic field and a professional field. The authors in this volume seek to extend Graaskamp's contributions and move the real estate discipline forward. The papers address the challenges posed by the market to return our attention to real estate fundamentals, and to strike a proper balance between Main Street and Wall Street. The authors and editors hope that this book will influence the industry to incorporate many of Grasskamp's ideas into mainstream real estate education and practice. Over the course of his career, Graaskamp made many noteworthy contributions to real estate theory and practice, ideas that if resurrected could offset some of the pressure in the industry to move away from market fundamentals. The authors try to capture the essence of Graaskamp's messages, and intend that the papers serve as a point of departure for discussing the future role and nature of real estate education. Part I focuses on the major contributions to the real estate discipline made by Graaskamp and the Wisconsin Real Estate Program. Part II contains some personal recollections and photos of Graaskamp, and also a summary of the groups that make up the Wisconsin Real Estate Program, a major co-sponsor of this volume. The rest of the book's three main parts are structured around major topics that reflect the multidisciplinary nature of real estate as espoused by Graaskamp. Part III treats real estate feasibility and development, Part IV concentrates on real estate valuation, and Part V discusses institutional economics.


Opinion Mining and Sentiment Analysis

Opinion Mining and Sentiment Analysis

Author: Bo Pang

Publisher: Now Publishers Inc

Published: 2008

Total Pages: 149

ISBN-13: 1601981503

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This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.


Spark Cookbook

Spark Cookbook

Author: Rishi Yadav

Publisher: Packt Publishing Ltd

Published: 2015-07-27

Total Pages: 393

ISBN-13: 1783987073

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By introducing in-memory persistent storage, Apache Spark eliminates the need to store intermediate data in filesystems, thereby increasing processing speed by up to 100 times. This book will focus on how to analyze large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will cover setting up development environments. You will then cover various recipes to perform interactive queries using Spark SQL and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will then focus on machine learning, including supervised learning, unsupervised learning, and recommendation engine algorithms. After mastering graph processing using GraphX, you will cover various recipes for cluster optimization and troubleshooting.


Apache Spark 2.x Cookbook

Apache Spark 2.x Cookbook

Author: Rishi Yadav

Publisher: Packt Publishing Ltd

Published: 2017-05-31

Total Pages: 288

ISBN-13: 1787127516

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Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries About This Book This book contains recipes on how to use Apache Spark as a unified compute engine Cover how to connect various source systems to Apache Spark Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines Who This Book Is For This book is for data engineers, data scientists, and those who want to implement Spark for real-time data processing. Anyone who is using Spark (or is planning to) will benefit from this book. The book assumes you have a basic knowledge of Scala as a programming language. What You Will Learn Install and configure Apache Spark with various cluster managers & on AWS Set up a development environment for Apache Spark including Databricks Cloud notebook Find out how to operate on data in Spark with schemas Get to grips with real-time streaming analytics using Spark Streaming & Structured Streaming Master supervised learning and unsupervised learning using MLlib Build a recommendation engine using MLlib Graph processing using GraphX and GraphFrames libraries Develop a set of common applications or project types, and solutions that solve complex big data problems In Detail While Apache Spark 1.x gained a lot of traction and adoption in the early years, Spark 2.x delivers notable improvements in the areas of API, schema awareness, Performance, Structured Streaming, and simplifying building blocks to build better, faster, smarter, and more accessible big data applications. This book uncovers all these features in the form of structured recipes to analyze and mature large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will learn to set up development environments. Further on, you will be introduced to working with RDDs, DataFrames and Datasets to operate on schema aware data, and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will also work through recipes on machine learning, including supervised learning, unsupervised learning & recommendation engines in Spark. Last but not least, the final few chapters delve deeper into the concepts of graph processing using GraphX, securing your implementations, cluster optimization, and troubleshooting. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand Spark 2.x's real-time processing capabilities and deploy scalable big data solutions. This is a valuable resource for data scientists and those working on large-scale data projects.


Street, Text, and Representation in African American Literature

Street, Text, and Representation in African American Literature

Author: Mattius Rischard

Publisher: Taylor & Francis

Published: 2024-05-31

Total Pages: 239

ISBN-13: 1040006183

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Comprehensive and comparative, this volume investigates African American street novelists since the Chicago Black Renaissance and the semiotic strategies they employ in publication, consumption, and depiction of street life. Divided into three chapters, this text analyzes the content, style, and ethics of “street” narrative through a discursive/rhetorical lens, exploring the development of street literature’s formal and contextual concerns to resolve the sociocultural and political questions surrounding cultural work. The book also gives emphasis to “text” or (post)structural literary analysis by answering questions about the genre’s aesthetic and linguistic techniques that respond to the injustices of urban planning. The last chapter, “Representation,” investigates the phenomenological hermeneutics of more recent street literature and its satire, highlighting the political stakes for authorship, credibility, and subjectivity. Through historical and contemporary studies of urban space, Blackness, and adaptations of street literature, this work attempts to network activists, artists, and scholars with the greater reading public by providing a functional ontology of reading the inner city.


Doing Academic Research

Doing Academic Research

Author: Ted Gournelos

Publisher: Routledge

Published: 2019-05-14

Total Pages: 133

ISBN-13: 0429558597

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Online student resource material cab be accessed under the 'Support Materials' tab at https://www.routledge.com/9780367207939 Doing Academic Research is a concise, accessible, and tightly organized overview of the research process in the humanities, social sciences, and business. Conducting effective scholarly research can seem like a frustrating, confusing, and unpleasant experience. Early researchers often have inconsistent knowledge and experience, and can become overwhelmed – reducing their ability to produce high quality work. Rather than a book about research, this is a practical guide to doing research. It guides budding researchers along the process of developing an effective workflow, where to go for help, and how to actually complete the project. The book addresses diversity in abilities, interest, discipline, and ways of knowing by focusing not just on the process of conducting any one method in detail, but also on the ways in which someone might choose a research method and conduct it successfully. Finally, it emphasizes accessibility and approachability through real-world examples, key insights, tips, and tricks from active researchers. This book is a highly useful addition to both content area courses and research methods courses, as well as a practical guide for graduate students and independent scholars interested in publishing their research.


Handbook of Natural Language Processing

Handbook of Natural Language Processing

Author: Nitin Indurkhya

Publisher: CRC Press

Published: 2010-02-22

Total Pages: 704

ISBN-13: 142008593X

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The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater


Affective Computing and Sentiment Analysis

Affective Computing and Sentiment Analysis

Author: Khurshid Ahmad

Publisher: Springer Science & Business Media

Published: 2011-08-24

Total Pages: 158

ISBN-13: 9400717571

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This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect – including sentiment and mood. The expression of sentiment and mood involves the use of metaphors, especially in emotive situations. Affect computing is rooted in hermeneutics, philosophy, political science and sociology, and is now a key area of research in computer science. The 24/7 news sites and blogs facilitate the expression and shaping of opinion locally and globally. Sentiment analysis, based on text and data mining, is being used in the looking at news and blogs for purposes as diverse as: brand management, film reviews, financial market analysis and prediction, homeland security. There are systems that learn how sentiments are articulated. This work draws on, and informs, research in fields as varied as artificial intelligence, especially reasoning and machine learning, corpus-based information extraction, linguistics, and psychology.