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Author: Rita Marcella Publisher: Routledge ISBN: 1351889249 Category : Language Arts & Disciplines Languages : en Pages : 226
Book Description
Classification now has to encompass ’non-physical’ media such as the Internet, yet still ensure access to knowledge held in traditional physical forms on library shelves. What does this mean for the future, and can classification cope with the virtual library? Written by a group of internationally-known specialists, this book reassesses traditional classification principles and the extent to which they provide the right basis for modern information storage and retrieval. First posing the radical question of whether classification is still really necessary, the book proceeds by emphasizing the need for systematic knowledge organization, with two chapters concentrating on classification in relation to IT and the Internet. Later chapters re-examine how present systems - Dewey Decimal Classification, Universal Decimal Classification and Library of Congress Classification - are likely to adapt, and provide a wealth of information sources for investigating the subject further. The Future of Classification delves deep into what makes knowledge-seeking successful. Those studying information storage and retrieval, and managers wanting to improve retrieval methods on which their service depends should read it.
Author: Rita Marcella Publisher: Routledge ISBN: 1351889249 Category : Language Arts & Disciplines Languages : en Pages : 226
Book Description
Classification now has to encompass ’non-physical’ media such as the Internet, yet still ensure access to knowledge held in traditional physical forms on library shelves. What does this mean for the future, and can classification cope with the virtual library? Written by a group of internationally-known specialists, this book reassesses traditional classification principles and the extent to which they provide the right basis for modern information storage and retrieval. First posing the radical question of whether classification is still really necessary, the book proceeds by emphasizing the need for systematic knowledge organization, with two chapters concentrating on classification in relation to IT and the Internet. Later chapters re-examine how present systems - Dewey Decimal Classification, Universal Decimal Classification and Library of Congress Classification - are likely to adapt, and provide a wealth of information sources for investigating the subject further. The Future of Classification delves deep into what makes knowledge-seeking successful. Those studying information storage and retrieval, and managers wanting to improve retrieval methods on which their service depends should read it.
Author: Susan Batley Publisher: Elsevier ISBN: 1780630743 Category : Language Arts & Disciplines Languages : en Pages : 195
Book Description
This book covers all of the major library classification schemes in use in Europe, UK and US; it includes practical exercises to demonstrate their application. Importantly, classifying electronic resources is also discussed. The aim of the book is to demystify a very complex subject, and to provide a sound theoretical underpinning, together with practical advice and development of practical skills. The book fills the gap between more complex theoretical texts and those books with a purely practical approach. Chapters concentrate purely on classification rather than cataloguing and indexing, ensuring a more in-depth coverage of the topic. - Covers the latest Dewey Decimal Classification, 22nd edition - Provides practical advice on which schemes will be most suitable for different types of library collection - Covers classification of electronic resources and taxonomy construction
Author: Konstantinos V. Katsikopoulos Publisher: MIT Press ISBN: 0262361957 Category : Language Arts & Disciplines Languages : en Pages : 208
Book Description
Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.
Author: Robert J. Glushko Publisher: "O'Reilly Media, Inc." ISBN: 1491911719 Category : Computers Languages : en Pages : 743
Book Description
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.
Author: Rolf H. Weber Publisher: Springer Science & Business Media ISBN: 3642316344 Category : Law Languages : en Pages : 160
Book Description
The classification of services in the digital economy proves critical for doing business, but it appears to be a particularly complex regulatory matter that is based upon a manifold set of issues. In the context of the General Agreement on Trade in Services (GATS), when the services classification scheme was drafted in the early 1990s, convergence processes had not unfolded yet and the internet was still in its infancy and not a reality in daily life. Therefore, policy makers are now struggling with the problem of regulating trade in electronic services and are in search of a future-oriented solution for classifying them in multilateral and preferential trade agreements. In late fall 2011, the authors of this study were mandated by the European Union, Delegation to Vietnam, in the context of the Multilateral Trade Assistance Project 3 (MUTRAP 3), to work out a report clarifying the classification of services in the information/digital economy and to assess the impact of any decision regarding the classifications on the domestic and external relations policy of Vietnam, as well as to discuss the relevant issues with local experts during three on-site visits.
Author: Geoffrey C. Bowker Publisher: MIT Press ISBN: 0262522950 Category : Science Languages : en Pages : 390
Book Description
A revealing and surprising look at how classification systems can shape both worldviews and social interactions. What do a seventeenth-century mortality table (whose causes of death include "fainted in a bath," "frighted," and "itch"); the identification of South Africans during apartheid as European, Asian, colored, or black; and the separation of machine- from hand-washables have in common? All are examples of classification—the scaffolding of information infrastructures. In Sorting Things Out, Geoffrey C. Bowker and Susan Leigh Star explore the role of categories and standards in shaping the modern world. In a clear and lively style, they investigate a variety of classification systems, including the International Classification of Diseases, the Nursing Interventions Classification, race classification under apartheid in South Africa, and the classification of viruses and of tuberculosis. The authors emphasize the role of invisibility in the process by which classification orders human interaction. They examine how categories are made and kept invisible, and how people can change this invisibility when necessary. They also explore systems of classification as part of the built information environment. Much as an urban historian would review highway permits and zoning decisions to tell a city's story, the authors review archives of classification design to understand how decisions have been made. Sorting Things Out has a moral agenda, for each standard and category valorizes some point of view and silences another. Standards and classifications produce advantage or suffering. Jobs are made and lost; some regions benefit at the expense of others. How these choices are made and how we think about that process are at the moral and political core of this work. The book is an important empirical source for understanding the building of information infrastructures.
Author: Chakraborty, Chinmay Publisher: IGI Global ISBN: 1522577971 Category : Medical Languages : en Pages : 448
Book Description
Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.
Author: Lois Mai Chan Publisher: ISBN: Category : Language Arts & Disciplines Languages : en Pages : 584
Book Description
The latest edition of this classic work [formerly Immroth's Guide to the Library of Congress Classification (Libraries Unlimited, 1990)] provides you with a basic understanding of the ever-evolving Library of Congress Classification system and its applications. After introducing the classification and giving a brief history of its development, the author presents readers with the general principles, structure, and format of the scheme. She then discusses and illustrates the use of tables. In a chapter new to this edition, Chan provides a general discourse on assigning LC call numbers.
Author: Michael G. Rumsey Publisher: Psychology Press ISBN: 1134788134 Category : Psychology Languages : en Pages : 555
Book Description
Bringing together several key elements needed to identify the most promising themes for future research in selection and classification, this book's underlying aim is to improve job performance by selecting the right persons and matching them most effectively with the right jobs. An emphasis is placed on current, innovative research approaches which in some cases depart substantially from traditional approaches. The contributors -- consisting of professionals in measurement, personnel research, and applied and military psychology -- discuss where the quantum advances of the last decade should take us further. Comprehensive coverage of the selection and classification domain is provided, including a broad range of topics in each of the following areas: performance conceptualization and measurement, individual differences, and selection and classification decision models. The presentations in each of these areas are integrated into a set of coherent themes. This integration was the product of structured group discussions which also resulted in a further evolution of some of the ideas presented.
Author: Azad Naik Publisher: Springer ISBN: 303001620X Category : Computers Languages : en Pages : 104
Book Description
This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a comprehensive overview of various state-of-the-art existing methods and algorithms that were developed to solve the HC problem in large scale domains. Several challenges faced by LSHC is discussed in detail such as: 1. High imbalance between classes at different levels of the hierarchy 2. Incorporating relationships during model learning leads to optimization issues 3. Feature selection 4. Scalability due to large number of examples, features and classes 5. Hierarchical inconsistencies 6. Error propagation due to multiple decisions involved in making predictions for top-down methods The brief also demonstrates how multiple hierarchies can be leveraged for improving the HC performance using different Multi-Task Learning (MTL) frameworks. The purpose of this book is two-fold: 1. Help novice researchers/beginners to get up to speed by providing a comprehensive overview of several existing techniques. 2. Provide several research directions that have not yet been explored extensively to advance the research boundaries in HC. New approaches discussed in this book include detailed information corresponding to the hierarchical inconsistencies, multi-task learning and feature selection for HC. Its results are highly competitive with the state-of-the-art approaches in the literature.
Author: Rita Marcella
Author: Rita Marcella
Author: Susan Batley
Author: Konstantinos V. Katsikopoulos
Author: Robert J. Glushko
Author: Rolf H. Weber
Author: Geoffrey C. Bowker
Author: Chakraborty, Chinmay
Author: Lois Mai Chan
Author: Michael G. Rumsey
Author: Azad Naik