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    Полное описание

    Critical approaches to information retrieval research / Muhammad Sarfraz, editor. - Hershey, PA : Information Science Reference, [2020]. - 12 p. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=ce9cc7a6134b937fda7120174418eb89. - Includes bibliographical references and index. - ISBN 1799810232. - ISBN 9781799810230. - Текст : электронный.
    Содержание:
    A novel hybrid correlation measure for query expansion based information retrieval -- Uncertain confidence's network-based collaborative information retrieval relevance feedback algorithm -- Enhancing information retrieval system using change prone classes -- Search for information in text files -- An approach of documents indexing using summarization -- Building text summary generation system using universal networking language, rhetorical structure theory, sangatis and su ̄tra: summary generation using discourse structures -- Automatic ontology construction: ontology from plain text using conceptualization and semantic roles -- Emotion analysis of different age group from voice using machine learning approach -- Analysis of speaker's age using clustering approaches with emotional dependent speech features -- Some aspects of reliability estimation of loosely coupled web services in clustered load balancing web server -- Multi agent system based on data mining algorithms to detect breast cancer -- Split and merge based breast cancer segmentation and classification -- Mammogram classification using nonsubsampled contourlet transform & gray-level co-occurrence matrix -- Enhancing HE stain images through an advanced soft computing based adaptive ameliorated CLAHE: enhancing HE stain images -- Enhanced ant colony algorithm for best features selection for a decision tree classification of medical data -- Load balancing in cloud computing: challenges and management techniques.
    Рубрики:
    Information retrieval
    Information storage and retrieval systems
    Information retrieval
    Information storage and retrieval systems

    Аннотация: This book examines interdisciplinary and multidisciplinary applications in data, text, image, sound, and document retrieval.Provided by publisher--
    Доп. точки доступа:
    Sarfraz, M.\editor.\

    Полный текст


    Держатели документа:
    Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1111637232)

    Шифр в сводном ЭК: 51bef34eea5cb6cd8781e8257a7f5b5f



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