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Soft Computing In Web Information Retrieval

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Soft Computing In Web Information Retrieval

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Author : Enrique Herrera-Viedma
language : en
Publisher: Springer
Release Date : 2009-09-02

Soft Computing In Web Information Retrieval written by Enrique Herrera-Viedma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Mathematics categories.

This book presents recent studies on the application of Soft Computing techniques in information access on the World Wide Web. The book is divided in four parts reflecting the areas of research of the presented works such as Document Classification, Semantic Web, Web Information Retrieval and Web Applications. The text demonstrates that Web Information Retrieval is a stimulating area of research where Soft Computing technologies can be applied satisfactorily.

Soft Computing

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Author : Dr. K. Ramesh Kumar
language : en
Publisher: Archers & Elevators Publishing House
Release Date :

Soft Computing written by Dr. K. Ramesh Kumar and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.

Proceedings Of The Third International Conference On Soft Computing For Problem Solving

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Author : Millie Pant
language : en
Publisher: Springer
Release Date : 2014-07-08

Proceedings Of The Third International Conference On Soft Computing For Problem Solving written by Millie Pant and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Technology & Engineering categories.

The proceedings of SocProS 2013 serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects of Soft Computing, an umbrella term for techniques like fuzzy logic, neural networks and evolutionary algorithms, swarm intelligence algorithms etc. This book will be beneficial for the young as well as experienced researchers dealing with complex and intricate real world problems for which finding a solution by traditional methods is very difficult. The different areas covered in the proceedings are: Image Processing, Cryptanalysis, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Optimization, Problems related to Medical and Health Care, Networking etc.

Soft Computing In Web Information Retrieval

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Author : Enrique Herrera-Viedma
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-02

Soft Computing In Web Information Retrieval written by Enrique Herrera-Viedma and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-02 with Computers categories.

Fuzzy Sets And Their Extensions Representation Aggregation And Models

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Author : Humberto Bustince
language : en
Publisher: Springer
Release Date : 2007-10-30

Fuzzy Sets And Their Extensions Representation Aggregation And Models written by Humberto Bustince and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-30 with Computers categories.

This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book’s 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations

Fuzzy Information Retrieval

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Author : Donald H. Kraft
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Fuzzy Information Retrieval written by Donald H. Kraft and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.

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.

Handbook Of Granular Computing

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Author : Witold Pedrycz
language : en
Publisher: John Wiley & Sons
Release Date : 2008-07-31

Handbook Of Granular Computing written by Witold Pedrycz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-31 with Technology & Engineering categories.

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Fuzzy Logic

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Author : Paul P. Wang
language : en
Publisher: Springer
Release Date : 2007-06-15

Fuzzy Logic written by Paul P. Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-15 with Technology & Engineering categories.

In order to properly characterize the content of this book, it is important to clarify ?rst the intended meaning of its title Fuzzy Logic. This clari?cation is needed since the term “fuzzy logic,” as currently used in the literature, is viewed either in a narrow sense or in a broad sense. In the narrow sense, fuzzy logic is viewed as an area devoted to the formal development, in a u- ?ed way, of the various logical systems of many-valued logic. It is concerned withformalizingsyntactic aspects(basedonthenotionofproof)andsemantic aspects (based on the notion oftruth) of the variouslogical calculi. In order to be acceptable, each of these logical calculi must be sound (provability implies truth) and complete (truth implies provability). The most representativep- lication of fuzzy logic in this sense is, in my opinion, the classic book by Peter Hajek [1]. When the term “fuzzy logic” is viewed in the broad sense, it refers to an extensive agenda whose primary aim is to utilize the apparatus of fuzzy set theoryfordevelopingsoundconcepts,principles,andmethodsforrepresenting and dealing with knowledge expressed by statements in natural language. Although workin fuzzy logicin the broadsense is not directly concernedwith the issues that are investigated under fuzzy logic in the narrow sense, the importance of the latter is that it provides the former with solid theoretical foundations. After examining the content of this book, it is easy to conclude that its title,FuzzyLogic, referstofuzzylogicinthebroadsense. Thisisconsistent,by and large, with the usual meaning of the term “fuzzy logic” in the literature.

Soft Computing Agents

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Author : Vincenzo Loia
language : en
Publisher: IOS Press
Release Date : 2002

Soft Computing Agents written by Vincenzo Loia and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.

Annotation In the last thirty years the researchers involved in the design of smart systems have continuously provided methodologies and technologies to deal human and artificial behaviours. The study of intelligent machines is attested by an enormous and growing literature and by a remarkable spin-off in wide range of innovative projects. Nevertheless these efforts, intelligent-based systems design still remain an open problem, especially from a performances as well as complexity viewpoints. Recent advances in networking technology and the ubiquity of the Internet open new perspectives in software application improvement. This new scenario demands new paradigms to cope with computational models characterized by an unceasing dynamism, strong decentralization, and high unpredictability. The exciting potential of agent technology has deeply marked these last years as a winning strategy to address the issues cited before. Agents or Multi-Agent Systems sketch intelligent behaviours by describing and managing computational activities shared over communities of large-grain entities. Even though an agent owns a partial knowledge and a reduced deductive ability; it may acquire wider competences thanks to rich interaction-cooperation schemas. It is clear that agent technology better fits the aspects of all those problems which can be depicted in terms of cooperating endeavours. Soft Computing, and in particular Fuzzy Technology, may play an important role in the design of smart agents. Promising benefits derive from well-founded soft computing -oriented approaches in order to better manage the behavioural models of the agents, especially when the interactions occur in an environment characterized by imprecision, uncertainty, and partial truth. The book intends to focus the contributions into three basic directions: to present the state-of-the-art in the development of soft computing -based agents; to examine the role of soft computing-based technology in various facets of agent design (problem-solving, autonomy, adaptivity, reactivity, communication, interaction); to cross-fertilize ideas on the soft computing perspective to the development of agent-based intelligent information systems.

Web Information Retrieval

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Author : Stefano Ceri
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-30

Web Information Retrieval written by Stefano Ceri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-30 with Computers categories.

With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Soft Computing In Web Information Retrieval

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