Records Classification: Concepts, Principles and Methods
Records Classification: Concepts, Principles and Methods

Author: Umi Asma' Mokhtar

Publisher: Chandos Publishing

Published: 2017-05-19

Total Pages: 162

ISBN-13: 0081022395

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Records Classification: Concepts, Principles and Methods: Information, Systems, Context introduces classification, an early part of the research lifecycle. Classification ensures systematic organization of documents and facilitates information retrieval. However, classification systems are not prevalent in records management when compared to their use in other information fields. This book views classification from the records management (RM) perspective by adopting a qualitative approach, with case studies, to gather data by means of interview and document content analysis. Current development of information systems do not take into account the concept of classification from a RM perspective. Such a model is required because the incorporation of information and communication technology (ICT) in managing records is inevitable. The concept of classification from an RM perspective ought to be extended to the ICT team to enable the development of a RM system not limited to storage and retrieval functions, but also with relation to disposal and preservation processes. This proposed model introduces function-based classification to ensure records are classified in context. Gives a step-by-step functional model for constructing a classification system within an organization Advocates for the importance of practicing classification for records, towards competent, transparent, and democratic organizations Helps organizations build their own classification system, thus safeguarding information in a secure and systematic fashion Provides local case studies from Malaysia and puts together a generic, globally applicable model

Classification, Data Analysis, and Knowledge Organization
Classification, Data Analysis, and Knowledge Organization

Author: Hans-Hermann Bock

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 404

ISBN-13: 3642763073

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In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.

Data Classification
Data Classification

Author: Charu C. Aggarwal

Publisher: CRC Press

Published: 2014-07-25

Total Pages: 710

ISBN-13: 1498760589

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Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

Machine Learning Models and Algorithms for Big Data Classification
Machine Learning Models and Algorithms for Big Data Classification

Author: Shan Suthaharan

Publisher: Springer

Published: 2015-10-20

Total Pages: 364

ISBN-13: 1489976418

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This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems.

The Discipline of Organizing: Professional Edition
The Discipline of Organizing: Professional Edition

Author: Robert J. Glushko

Publisher: "O'Reilly Media, Inc."

Published: 2014-08-25

Total Pages: 743

ISBN-13: 1491911719

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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.

Sorting Things Out
Sorting Things Out

Author: Geoffrey C. Bowker

Publisher: MIT Press

Published: 2000-08-25

Total Pages: 390

ISBN-13: 0262522950

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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.

Qualitative Research in IS: Issues and Trends
Qualitative Research in IS: Issues and Trends

Author: Trauth, Eileen M.

Publisher: IGI Global

Published: 2000-07-01

Total Pages: 308

ISBN-13: 1930708947

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This book addresses the need for materials that can help the IS researcher determine which qualitative methods are most appropriate for addressing their particular research questions. It draws upon the collective expertise of distinguished scholars to explore concrete issues they have encountered in the use of a particular qualitative methods. The details of specific research projects provide the backdrop for the discussion of methodological issues. The audience for this book includes students, scholars and researchers. Anyone currently engaged in conducting IS research who would like to learn more about employing qualitative methods will be interested in Qualitative Research in IS: Issues and Trends to learn more about the latest issues and challenges facing IS researchers throughout the world.

Knowledge Organization and Classification in International Information Retrieval
Knowledge Organization and Classification in International Information Retrieval

Author: Nancy Williamson

Publisher: Routledge

Published: 2013-05-13

Total Pages: 266

ISBN-13: 1136421076

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Learn step-by-step how to develop knowledge-based products for international use! Knowledge Organization and Classification in International Information Retrieval examines current efforts to deal with the increasing globalization of information and knowledge. International authors walk you through the theoretical foundations and conceptual elements behind knowledge management, addressing areas such as the Internet, multinational resources, translations, and information languages. The tools, techniques, and case studies provided in this book will be invaluable to anyone interested in bridging the international information retrieval language gap. This book is divided into four sections that address major themes for internationalized information and knowledge: “General Bibliographic Systems” discusses how bibliographic classification systems can be adapted for specific subjects, the problems with addressing different language expressions, and the future of these systems “Information Organization in Knowledge Resources” explores knowledge organization and classification, focusing mainly on libraries and on the Internet “Linguistics, Terminology, and Natural Language Processing” analyzes the latest developments in language processing and the design of information retrieval tools and resources “Knowledge in the World and the World of Knowledge” addresses the ontological foundations of knowledge organization and classification and knowledge management in organizations from different cultures With this book, you’ll gain a better understanding about the international efforts to globalize: the Dewey Decimal Classification the Library of Congress Classification the Universal Decimal Classification multilingual thesauri Web directories of education-related resources human language technology metadata schemas the North American Industry Classification Figures, tables, charts, and diagrams elucidate the concepts in Knowledge Organization and Classification in International Information Retrieval. Information educators and practitioners as well as specialists in classification and knowledge organization will find this book valuable for its focus on the problems of—and solutions for—information retrieval for specific linguistic, cultural, and domain communities of discourse.

Security Classified and Controlled Information
Security Classified and Controlled Information

Author: Harold C. Relyea

Publisher: DIANE Publishing

Published: 2010-10

Total Pages: 36

ISBN-13: 143793577X

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The security classification regime in use within the fed. executive branch traces its origins to armed forces info. protection practices of the WWI era. The system designates info. according to prescribed criteria and procedures, protected in accordance with one of three levels of sensitivity, and is based on the amount of harm to the national security that would result from its disclosure. Contents of this report: Classification Background; Control Markings Discovered; Control Markings Today; Comparison of Sensitive Security Info. Policies: USDA Marking; USDA Mgmt.; TSA/DOT Marking; TSA/DOT Mgmt.; Mgmt. Regime Comparison; Implications for Info. Sharing; Improving Classified Info. Life Cycle Mgmt.; Remedial Legislation; Related Literature.

Classification and Modeling with Linguistic Information Granules
Classification and Modeling with Linguistic Information Granules

Author: Hisao Ishibuchi

Publisher: Springer Science & Business Media

Published: 2006-02-27

Total Pages: 308

ISBN-13: 3540268758

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Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.