Fuzzy Information Retrieval

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Fuzzy Sets in Information Retrieval and Cluster Analysis

Author : S. Miyamoto
Publisher : Springer Science & Business Media
ISBN 13 : 9401578877
Total Pages : 266 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Fuzzy Sets in Information Retrieval and Cluster Analysis by : S. Miyamoto

Download or read book Fuzzy Sets in Information Retrieval and Cluster Analysis written by S. Miyamoto and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis. Fuzzy set theory supplies new concepts and methods for the other two fields, and provides a common frame work within which they can be reorganized. Four principal groups of readers are assumed: researchers or students who are interested in (a) application of fuzzy sets, (b) theory of information retrieval or bibliographic databases, (c) hierarchical clustering, and (d) application of methods in systems science. Readers in group (a) may notice that the fuzzy set theory used here is very simple, since only finite sets are dealt with. This simplification enables the max min algebra to deal with fuzzy relations and matrices as equivalent entities. Fuzzy graphs are also used for describing theoretical properties of fuzzy relations. This assumption of finite sets is sufficient for applying fuzzy sets to information retrieval and cluster analysis. This means that little theory, beyond the basic theory of fuzzy sets, is required. Although readers in group (b) with little background in the theory of fuzzy sets may have difficulty with a few sections, they will also find enough in this monograph to support an intuitive grasp of this new concept of fuzzy information retrieval. Chapter 4 provides fuzzy retrieval without the use of mathematical symbols. Also, fuzzy graphs will serve as an aid to the intuitive understanding of fuzzy relations.

Fuzzy Information Retrieval

Author : Donald H. Kraft
Publisher : Springer
ISBN 13 : 9783031011795
Total Pages : 0 pages
Book Rating : 4.0/5 (117 download)

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Book Synopsis Fuzzy Information Retrieval by : Donald H. Kraft

Download or read book Fuzzy Information Retrieval written by Donald H. Kraft and published by Springer. This book was released on 2017-01-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user's query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence, database management, and parallel computing. This book introduces the topic of IR and how it differs from other computer science disciplines. A discussion of the history of modern IR is briefly presented, and the notation of IR as used in this book is defined. The complex notation of relevance is discussed. Some applications of IR is noted as well since IR has many practical uses today. Using information retrieval with fuzzy logic to search for software terms can help find software components and ultimately help increase the reuse of software. This is just one practical application of IR that is covered in this book. Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention of the source of weights for the various models. In a typical retrieval environment, answers are either yes or no, i.e., on or off. On the other hand, fuzzy logic can bring in a "degree of" match, vs. a crisp, i.e., strict match. This, too, is looked at and explored in much detail, showing how it can be applied to information retrieval. Fuzzy logic is often times considered a soft computing application and this book explores how IR with fuzzy logic and its membership functions as weights can help indexing, querying, and matching. Since fuzzy set theory and logic is explored in IR systems, the explanation of where the fuzz is ensues. The concept of relevance feedback, including pseudorelevance feedback is explored for the various models of IR. For the extended Boolean model, the use of genetic algorithms for relevance feedback is delved into. The concept of query expansion is explored using rough set theory. Various term relationships is modeled and presented, and the model extended for fuzzy retrieval. An example using the UMLS terms is also presented. The model is also extended for term relationships beyond synonyms. Finally, this book looks at clustering, both crisp and fuzzy, to see how that can improve retrieval performance. An example is presented to illustrate the concepts.

Fuzzy Information Engineering

Author : Didier Dubois
Publisher :
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Fuzzy Information Engineering by : Didier Dubois

Download or read book Fuzzy Information Engineering written by Didier Dubois and published by . This book was released on 1997 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic allows computer programmers to interpret ambiguous commands that ordinary, rigid programs are unable to decipher. For instance, computers can work with words like "tall" and "expensive" rather than 6'5" or $669.95. This book covers the use of fuzzy logic in the information science and information engineering fields.

Lectures on Information Retrieval

Author : Maristella Agosti
Publisher : Springer
ISBN 13 : 3540453687
Total Pages : 320 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Lectures on Information Retrieval by : Maristella Agosti

Download or read book Lectures on Information Retrieval written by Maristella Agosti and published by Springer. This book was released on 2003-05-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.

Fuzzy Information and Engineering Volume 2

Author : Bingyuan Cao
Publisher : Springer Science & Business Media
ISBN 13 : 3642036643
Total Pages : 1687 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Fuzzy Information and Engineering Volume 2 by : Bingyuan Cao

Download or read book Fuzzy Information and Engineering Volume 2 written by Bingyuan Cao and published by Springer Science & Business Media. This book was released on 2009-10-14 with total page 1687 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the proceedings of the Third International Conference on Fuzzy Information and Engineering (ICFIE 2009) held in the famous mountain city Chongqing in Southwestern China, from September 26-29, 2009. Only high-quality papers are included. The ICFIE 2009, built on the success of previous conferences, the ICFIE 2007 (Guangzhou, China), is a major symposium for scientists, engineers and practitioners in the world to present their updated results, ideas, developments and applications in all areas of fuzzy information and engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in fuzzy fields as follows: Fuzzy Information; Fuzzy Sets and Systems; Soft Computing; Fuzzy Engineering; Fuzzy Operation Research and Management; Artificial Intelligence; Fuzzy Mathematics and Systems in Applications, etc.

Computational Intelligence for Information Retrieval

Author : Dharmender Saini
Publisher : CRC Press
ISBN 13 : 1000484718
Total Pages : 292 pages
Book Rating : 4.0/5 (4 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.

Handbook of Research on Fuzzy Information Processing in Databases

Author : Galindo, Jos
Publisher : IGI Global
ISBN 13 : 159904854X
Total Pages : 899 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Handbook of Research on Fuzzy Information Processing in Databases by : Galindo, Jos

Download or read book Handbook of Research on Fuzzy Information Processing in Databases written by Galindo, Jos and published by IGI Global. This book was released on 2008-05-31 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. It offers a guide to fuzzy information processing in databases"--Provided by publisher.

Fuzzy Sets in Approximate Reasoning and Information Systems

Author : J.C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 1461552435
Total Pages : 527 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Fuzzy Sets in Approximate Reasoning and Information Systems by : J.C. Bezdek

Download or read book Fuzzy Sets in Approximate Reasoning and Information Systems written by J.C. Bezdek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.

Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

Author : Zeungnam Bien
Publisher : Springer Science & Business Media
ISBN 13 : 9400901259
Total Pages : 472 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems by : Zeungnam Bien

Download or read book Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems written by Zeungnam Bien and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences. Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.

SIGIR ’94

Author : W. Bruce Croft
Publisher : Springer Science & Business Media
ISBN 13 : 144712099X
Total Pages : 371 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis SIGIR ’94 by : W. Bruce Croft

Download or read book SIGIR ’94 written by W. Bruce Croft and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information retrieval (IR) is becoming an increasingly important area as scientific, business and government organisations take up the notion of "information superhighways" and make available their full text databases for searching. Containing a selection of 35 papers taken from the 17th Annual SIGIR Conference held in Dublin, Ireland in July 1994, the book addresses basic research and provides an evaluation of information retrieval techniques in applications. Topics covered include text categorisation, indexing, user modelling, IR theory and logic, natural language processing, statistical and probabilistic models of information retrieval systems, routing, passage retrieval, and implementation issues.

Mathematical Foundations of Information Retrieval

Author : S. Dominich
Publisher : Springer Science & Business Media
ISBN 13 : 9401007527
Total Pages : 300 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis Mathematical Foundations of Information Retrieval by : S. Dominich

Download or read book Mathematical Foundations of Information Retrieval written by S. Dominich and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and consistent mathematical approach to information retrieval (IR) without which no implementation is possible, and sheds an entirely new light upon the structure of IR models. It contains the descriptions of all IR models in a unified formal style and language, along with examples for each, thus offering a comprehensive overview of them. The book also creates mathematical foundations and a consistent mathematical theory (including all mathematical results achieved so far) of IR as a stand-alone mathematical discipline, which thus can be read and taught independently. Also, the book contains all necessary mathematical knowledge on which IR relies, to help the reader avoid searching different sources. Audience: The book will be of interest to computer or information scientists, librarians, mathematicians, undergraduate students and researchers whose work involves information retrieval.

Natural Language Processing and Information Retrieval

Author : Muskan Garg
Publisher : CRC Press
ISBN 13 : 1003800483
Total Pages : 271 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Natural Language Processing and Information Retrieval by : Muskan Garg

Download or read book Natural Language Processing and Information Retrieval written by Muskan Garg and published by CRC Press. This book was released on 2023-11-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522551921
Total Pages : 2373 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-01-05 with total page 2373 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Fuzzy Information, Knowledge Representation, and Decision Analysis

Author : Elie Sanchez
Publisher : Pergamon
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Fuzzy Information, Knowledge Representation, and Decision Analysis by : Elie Sanchez

Download or read book Fuzzy Information, Knowledge Representation, and Decision Analysis written by Elie Sanchez and published by Pergamon. This book was released on 1984 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents new theoretical developments & results of realistic applications of fuzzy set theory techniques to the control of physical, engineering, socioeconomic, medical diagnosis & other systems. Includes some applications of artificial intelligence methods to medical diagnosis & therapy.

Modern Information Retrieval

Author : Yates
Publisher : Pearson Education India
ISBN 13 : 9788131709771
Total Pages : 540 pages
Book Rating : 4.7/5 (97 download)

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Book Synopsis Modern Information Retrieval by : Yates

Download or read book Modern Information Retrieval written by Yates and published by Pearson Education India. This book was released on 1999-09 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fifty Years of Fuzzy Logic and its Applications

Author : Dan E. Tamir
Publisher : Springer
ISBN 13 : 3319196839
Total Pages : 679 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Fifty Years of Fuzzy Logic and its Applications by : Dan E. Tamir

Download or read book Fifty Years of Fuzzy Logic and its Applications written by Dan E. Tamir and published by Springer. This book was released on 2015-05-23 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

Understanding Information Retrieval Systems

Author : Marcia J. Bates
Publisher : CRC Press
ISBN 13 : 1439891966
Total Pages : 754 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Understanding Information Retrieval Systems by : Marcia J. Bates

Download or read book Understanding Information Retrieval Systems written by Marcia J. Bates and published by CRC Press. This book was released on 2011-12-20 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of technical standards, a number of which are described in this book—often by their original developers. The book covers the full context of operational IR systems, addressing not only the systems themselves but also human user search behaviors, user-centered design, and management and policy issues. In addition to theory and practice of IR system design, the book covers Web standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library online access, records compliance and risk management, information storage technology, geographic information systems, and data transmission protocols. Emphasis is given to information systems that operate on relatively unstructured data, such as text, images, and music. The book is organized into four parts: Part I supplies a broad-level introduction to information systems and information retrieval systems Part II examines key management issues and elaborates on the decision process around likely information system solutions Part III illustrates the range of information retrieval systems in use today discussing the technical, operational, and administrative issues for each type Part IV discusses the most important organizational and technical standards needed for successful information retrieval This volume brings together authoritative articles on the different types of information systems and how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures. It explains how to design systems to address human characteristics and considers key policy and ethical issues such as piracy and preservation. Focusing on web–based systems, the chapters in this book provide an excellent starting point for developing and managing your own IR systems.