Intelligent Document Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 1402037686
Total Pages : 205 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Intelligent Document Retrieval by : Udo Kruschwitz

Download or read book Intelligent Document Retrieval written by Udo Kruschwitz and published by Springer Science & Business Media. This book was released on 2006-01-09 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all. Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from the Web in general. The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. So we construct it automatically.

Computational Intelligence for Information Retrieval

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Publisher : CRC Press
ISBN 13 : 1000484718
Total Pages : 292 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis Computational Intelligence for Information Retrieval by : Dharmender Saini

Download or read book Computational Intelligence for Information Retrieval written by Dharmender Saini and published by CRC Press. This book was released on 2021-12-14 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human–computer interaction is the motivation behind this book. The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies. Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners, as well as their integration, and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation systems in big data, and a fuzzy-based approach for characterization and identification of sentiments.

Intelligent Information Retrieval for Healthcare Systems

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Publisher : Nova Science Publishers
ISBN 13 : 9781685073657
Total Pages : 265 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis Intelligent Information Retrieval for Healthcare Systems by : Parma Nand Astya

Download or read book Intelligent Information Retrieval for Healthcare Systems written by Parma Nand Astya and published by Nova Science Publishers. This book was released on 2021-12-02 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ontology-based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. For research and disbursal of customized healthcare services, a major challenge is to efficiently retrieve and analyze the individual patient data from a large volume of heterogeneous data over a long span of time. This requires effective ontology-based information retrieval approaches for clinical information systems. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology-based information retrieval techniques to the healthcare systems. This book is the first of its kind that highlights the ontology-driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. It can serve as a textbook for courses in healthcare systems. It can also serve as a reference book to medical practitioners and researchers involved in implementing as well as providing customized health care solutions to patients"--

The SMART Retrieval System

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Publisher : Englewood Cliffs, N.J : Prentice-Hall
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.28/5 ( download)

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Book Synopsis The SMART Retrieval System by : Gerard Salton

Download or read book The SMART Retrieval System written by Gerard Salton and published by Englewood Cliffs, N.J : Prentice-Hall. This book was released on 1971 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: USA. Compilation of papers on technical aspects of fully automatic computer-based information retrieval systems, with particular reference to the experimental smart information system operated at harvard and cornell universities - covers theoretical developments (incl. System evaluation), language analysis techniques, the evaluation of document analysis methodology, user feedback procedures, etc. Diagrams, references and statistical tables.

Intelligent Multimedia Information Retrieval

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Publisher :
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Intelligent Multimedia Information Retrieval by : Mark T. Maybury

Download or read book Intelligent Multimedia Information Retrieval written by Mark T. Maybury and published by . This book was released on 1997 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Karen Spärck Jones Intelligent multimedia information retrieval lies at the intersection of artificial intelligence, information retrieval, human-computer interaction, and multimedia computing. Its systems enable users to create, process, summarize, present, interact with, and organize information within and across different media such as text, speech, graphics, imagery, and video. These systems go beyond traditional hypermedia and hypertext environments to analyze and generate media, and support intelligent interaction with or via multiple media. The chapters of this volume, which grew out of the 1995 International Joint Conference on Artificial Intelligence Workshop on Intelligent Multimedia Information Retrieval, span a broad range of topics. The book is organized into seven sections: Content-Based Retrieval of Imagery, Content-Based Retrieval of Graphics and Audio, Content-Based Retrieval of Video, Speech and Language Processing for Video Retrieval, Architectures and Tools, Intelligent Hypermedia Retrieval, and Empirical Evaluations. Contributors Robert Adams, Phillipe Aigrain, Jonathan Ashley, Thom Blum, Shih-Fu Chang, Mei C. Chuah, W. Bruce Croft, Byron Dom, Ann Doubleday, Florence Dubois, Josef Fink, Myron Flickner, Jonathan Foote, Brian Frew, Monika Gorkani, Morgan Green, James Griffioen, Jon Alte Gulla, Jim Hafner, Qian Hang, Matt Hare, Alexander G. Hauptman, Stacie Hibino, Helmut Horacek, David House, Takafumi Inoue, Philippe Joly, Gareth Jones, Karen Spärck Jones, Douglas Keislaer, Stephen Kerpedjiev, Alfred Kobsa, Denis Lee, Véronique Longueville, Chien Yong Low, R. Manmatha, Inderjeet Mani, Mark T. Maybury, Bernard Mérialdo, Adrian Müller, Wayne Niblac, Andreas Nill, Alex Pentland, Dragutin Petkovic, Steven F. Roth, Neil C. Rowe, Elke A. Rundensteiner, Harpreet Sawhney, John R. Smith, Stephen W. Smoliar, David Steele, Adelheit Stein, Oliviero Stock, Carlo Strapparava, Alistair Sutcliffe, Atshushi Takeshita, Kazuo Tanaka, Ulrich Thiel, Michele Ryan, Julita Vassileva, James Wheaton, Michael J. Witbrock, Erling Wold, JianHua Wu, Peter Yanker, Rajendra Yavatkar, Steven J. Young, Massimo Zancanaro, HongJiang Zhang

Emergent Web Intelligence: Advanced Information Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 1849960747
Total Pages : 496 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Emergent Web Intelligence: Advanced Information Retrieval by : Richard Chbeir

Download or read book Emergent Web Intelligence: Advanced Information Retrieval written by Richard Chbeir and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.

Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies

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Publisher : IGI Global
ISBN 13 : 1613501277
Total Pages : 334 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies by : Yan, Li

Download or read book Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies written by Yan, Li and published by IGI Global. This book was released on 2011-09-30 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably. Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies details the latest information retrieval technologies and applications, the research surrounding the field, and the methodologies and design related to multimedia databases. Together with academic researchers and developers from both information retrieval and artificial intelligence fields, this book details issues and semantics of data retrieval with contributions from around the globe. As the information and data from multimedia databases continues to expand, the research and documentation surrounding it should keep pace as best as possible, and this book provides an excellent resource for the latest developments.

Introduction to Information Retrieval

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Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Intelligent Information Retrieval: The Case of Astronomy and Related Space Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 0585331103
Total Pages : 213 pages
Book Rating : 4.02/5 ( download)

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Book Synopsis Intelligent Information Retrieval: The Case of Astronomy and Related Space Sciences by : Andre Heck

Download or read book Intelligent Information Retrieval: The Case of Astronomy and Related Space Sciences written by Andre Heck and published by Springer Science & Business Media. This book was released on 2007-08-20 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent information Retrieval comprehensively surveys scientific information retrieval, which is characterized by growing convergence of information expressed in varying complementary forms of data - textual, numerical, image, and graphics; by the fundamental transformation which the scientific library is currently being subjected to; and by computer networking which as become an essential element of the research fabric. Intelligent Information Retrieval addresses enabling technologies, so-called `wide area network resource discovery tools', and the state of the art in astronomy and other sciences. This work is essential reading for astronomers, scientists in related disciplines, and all those involved in information storage and retrieval.

Intelligent Agents for Data Mining and Information Retrieval

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Publisher : IGI Global
ISBN 13 : 1591401941
Total Pages : 327 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Intelligent Agents for Data Mining and Information Retrieval by : Masoud Mohammadian

Download or read book Intelligent Agents for Data Mining and Information Retrieval written by Masoud Mohammadian and published by IGI Global. This book was released on 2004-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Data Mining and Information Retrieval discusses the foundation as well as the practical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers.