This established textbook introduces the essentials of classification as used for information processing. The third edition takes account of developments that have taken place since the second edition was published in 2002. Classification Made Simple provides a useful gateway to more advanced works and the study of specific schemes. As an introductory text, it will be invaluable to students of information work and to anyone inside or outside the information profession who needs to understand the manner in which classification can be utilized to facilitate and enhance organisation and retrieval.
An ability to classify is a fundamental requisite of everyday life. Classification is also a vital element in information management. This established textbook introduces the essentials of classification as used for information storage and retrieval. By adopting a gradual progression from very basic principles and by providing practical examples, it enables the reader to gain a firm grasp of one idea before proceeding to the next.In information work, classification may be used in various ways, for coding in computerized systems; for the organization of manual and machine-readable files and catalogues; and for shelf arrangement in libraries and information services. It can constitute a basis for the production of alphabetical authority lists of subject terms, or thesauri, and can be applied to other subject indexing and search techniques. The approach adopted here is a wide one and is not limited to classification for one specific purpose.This revision takes account of developments that have taken place since the first edition was published. Perhaps the most significant event has been the phenomenal growth of the Internet and the World Wide Web and this new edition outlines the significant role that classification can play in the accessing of Internet resources.Classification Made Simple provides a useful gateway to more advanced works and the study of specific schemes. As an introductory text, it will be invaluable to students of information work and to anyone inside or outside the information profession who needs to understand the manner in which classification can be utilized to facilitate and enhance the retrieval process.
Note about this ebook: This ebook exploits many advanced capabilities with images, hypertext, and interactivity and is optimized for EPUB3-compliant book readers, especially Apple's iBooks and browser plugins. These features may not work on all ebook readers. We organize things. We organize information, information about things, and information about information. Organizing is a fundamental issue in many professional fields, but these fields have only limited agreement in how they approach problems of organizing and in what they seek as their solutions. The Discipline of Organizing synthesizes insights from library science, information science, computer science, cognitive science, systems analysis, business, and other disciplines to create an Organizing System for understanding organizing. This framework is robust and forward-looking, enabling effective sharing of insights and design patterns between disciplines that weren’t possible before. The Professional Edition includes new and revised content about the active resources of the "Internet of Things," and how the field of Information Architecture can be viewed as a subset of the discipline of organizing. You’ll find: 600 tagged endnotes that connect to one or more of the contributing disciplines Nearly 60 new pictures and illustrations Links to cross-references and external citations Interactive study guides to test on key points The Professional Edition is ideal for practitioners and as a primary or supplemental text for graduate courses on information organization, content and knowledge management, and digital collections. FOR INSTRUCTORS: Supplemental materials (lecture notes, assignments, exams, etc.) are available at http://disciplineoforganizing.org. FOR STUDENTS: Make sure this is the edition you want to buy. There's a newer one and maybe your instructor has adopted that one instead.
"SOA Made Simple" is a concise and indispensable handbook for finally understanding exactly what Service Oriented Architecture is. Split into three clear sections, in this book you'll learn from both theory as well as step-by-step implementation examples to aid in your understanding of this often poorly- articulated industry term.If you are an architect who wants to be completely clear in your understanding of what SOA is, then this book is essential. In fact, anyone (designer, developer, administrator or team lead) who is implementing or about to implement an architecture in an IT environment should not miss out on "SOA Made Simple." Some previous experience with general software architecture is required, but this guide will tell you everything you need to know about SOA in a clear and easy fashion.
**Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award Winner, 2024** Master the pharmacology essentials that health professionals need in practice! Pharmacology Made Simple: An Introduction for the Health Professions makes it easy to understand and apply pharmacology concepts in healthcare careers. Clear and concise, this text uses colorful illustrations, case scenarios, and memory devices to simplify learning and review questions to aid comprehension. An Evolve companion website includes animations of body systems, two practice exams for more self-testing, and printable drug tables. This exciting and practical new text helps you build professional skills and ensures your readiness for the workplace. - Essential information is logically organized and easy to read, focusing on what you need to know. - Engaging, reader-friendly format breaks down pharmacology into manageable chunks of information, accompanied by "flashcard" boxes and memory devices. - Mini case studies in each chapter demonstrate real-world healthcare applications, with scenarios from a variety of health professions settings. - Chapter review questions provide opportunities to assess your comprehension as you move forward. - Full-color illustrations bring complex pharmacology concepts to life with realistic figures and drawings. - Clinical Application and Alert features stress critical thinking and effective job preparation. - Scenario and Alert features stress clinical application and safety. - Focus on patient education helps you learn and practice key skills in professionalism. - Chapter key terms and back-of-book glossary includes pharmacology terms cross-referenced to the chapters in which they are introduced and discussed. - Additional learning resources include a study guide (available separately) and an Evolve companion website with animations, practice exams, and more. - Chapter objectives guide your study by listing the chapter's most important concepts.
Presents information and sample forms on the U.S. immigration process, covering such areas as the Visa Waiver Program, the INSPASS System, Green Card renewal, and naturalization, and includes a directory of immigration lawyers and other practical resources.
Unleash the power of data science to make informed decisions, solve problems, and innovate. Data science is a rapidly growing field that is changing the way we live, work, and learn. It is the process of extracting knowledge and insights from data, and it can be used to solve a wide range of problems. Data Science Made Simple is the perfect resource for anyone who wants to learn the basics of data science. This comprehensive guide covers everything you need to know, from the basics of data science to advanced topics such as machine learning and artificial intelligence. With clear explanations, this book will help you: Understand the basics of data science Choose the right data science tools and techniques for your task Collect, clean, and analyze data Build data science models Communicate your data science findings Whether you're a student, a business professional, or a data enthusiast, Data Science Made Simple is the essential resource for learning about data science. Here are some of the key topics covered in the book: Introduction to data science Data collection Data cleaning Data analysis Data modeling Data communication With Data Science Made Simple, you'll be well on your way to becoming a data science expert. If you are a beginner who wants to learn about data science, Data Science Made Simple is a great place to start.
For almost four decades, Made Simple books have set the standard for continuing education and home study. In answer to the changing needsof today's marketplace, the Made Simple series for the '90s presents a thoroughly up-to-the-minute portfolio of skills, information, and experience, with revised and updated editions of bestselling titles, plus a whole range of new subjects from personal finance to office management to desktop publishing. B & W illustrations throughout
A Practical Guide to Library of Congress Classification is a hands-on introduction to LC Classification. The book examines each part of the LCC call number and how it is assembled and guides the reader through each step of finding and constructing LCC class numbers in Classification Web (the primary resource used to access LCC). Chapter coverage is complete: 1. Introduction 2. Library of Congress Classification in a Nutshell 3. Breaking Down the Library of Congress Call Number 4. Dates 5. Cutters 6. LCC in Classification Web 7. Basic LCC Call Number Building 8. Advanced Call Number Building 9. Classifying Fiction in LCC 10. Finding and using LCC Resources Exercises at the end of most chapters give readers immediate practice with what they just learned. Answers to the exercises are provided at the end of the book. By the end of the book readers will be able to build an LCC call number on their own.
In this research monograph, the author's work on classification and related topics are presented. This revised edition brings the book up to date with the addition of four new chapters as well as various corrections to the 1978 text.The additional chapters X - XIII present the solution to countable first order T of what the author sees as the main test of the theory. In Chapter X the Dimensional Order Property is introduced and it is shown to be a meaningful dividing line for superstable theories. In Chapter XI there is a proof of the decomposition theorems. Chapter XII is the crux of the matter: there is proof that the negation of the assumption used in Chapter XI implies that in models of T a relation can be defined which orders a large subset of m
