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Database management --- Multimedia systems --- Automatic indexing
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Preparing an index for a book or other type of publication is a specialized skill. This volume presents the chapter from The Chicago Manual of Style, 17th Edition devoted to best practices for preparing and editing indexes as well as current standards for style and format of indexes. Thoroughly updated, it is an indispensable guide for anyone involved in preparing an index.
Indexing --- Chicago Manual of Style. --- Index Preparation. --- Index.
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Outside back cover : "Health Sciences Literature Review Made Easy: The Matrix Method, Fifth Edition describes the practical and useful methods for reviewing scientific literature in the health sciences. The goal of this text is to serve as a resource for students who need a practical, step-by-step set of instructions for how to organize, conduct, and write a synthesis of literature on a topic of their choice."
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While there are many cataloging texts, very few are written specifically for library support staff. This is the one and only book purposefully aligned with the new American Library Association ? Library Support Staff Certification (LSSC) competency standards for Cataloging and Classification. Written in clear language by someone who teaches cataloging in a library support staff program and featuring practical examples, Cataloging Library Resources: An Introduction will help library support staff become effective catalogers. Other books on this topic are written for professional librarians rather than support staff. And although 85% of library support staff do not hold professional degrees, many are expected to do the complex and technical work of catalogers. This book provides many examples that support staff can use to learn how to catalog all types of library print, media, and digital materials using the most up-to-date Library of Congress standards. Using this handbook as a guide, readers will be able to perform the ALA-LSSC cataloging and classification competencies and the new RDA, FRBR, and BIBFRAME standards listed below: ? Apply and manage the appropriate processes, computer technology, and equipment for cataloging and classification. ? Apply principles of Resource Description and Access (RDA) and the Functional Requirements for Bibliographic Records (FRBR) when creating cataloging records. ? Apply principles of the Bibliographic Framework Initiative (BIBFRAME) and utilize the BIBFRAME model to create cataloging records. ? Use the basic cataloging and classification tools, both print and online, including bibliographic utilities and format standards. ? Understand the value of authority control and its basic principles, and can identify and apply appropriate access points for personal names, corporate bodies, series, and subjects. ? Explain the value and advantages of cooperative or collaborative cataloging practices to enhance services. ? Know the basics of standard metadata formats and cataloging rules to select, review, and edit catalog records, and to generate metadata in various formats. ? And more!
Cataloging. --- Classification --- Library technicians --- Catalogage --- Books. --- Training of. --- Livres --- Techniciens en documentation --- Formation --- Alphabetical cataloguing --- Subject indexing
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Subject cataloging --- Subject headings --- Controlled vocabularies (Subject headings) --- Headings, Subject --- Indexing vocabularies --- Lists of subject headings --- Structured vocabularies (Subject headings) --- Subject authorities (Information retrieval) --- Subject authority files (Information retrieval) --- Subject authority records (Information retrieval) --- Subject heading lists --- Subject headings, English --- Vocabularies, Controlled (Subject headings) --- Vocabularies, Structured (Subject headings) --- Thesauri (Controlled vocabularies) --- Authority files (Information retrieval) --- FRSAD (Conceptual model) --- Subject analysis --- Cataloging --- Content analysis (Communication) --- Indexing
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With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.
Electronic data processing. --- Information visualization --- Punched card systems. --- Codes for punched card systems --- Data processing --- Perforated card systems --- Punch-card systems --- Punched card systems --- Card system in business --- Computer input-output equipment --- Computer storage devices --- Indexing --- Information storage and retrieval systems --- Information theory --- Tabulating machines --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Data processing. --- Business --- Automation
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