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Computational Information Retrieval

Computational Information Retrieval Author Michael W. Berry
ISBN-10 0898715008
Release 2001-01-01
Pages 185
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This volume contains selected papers that focus on the use of linear algebra, computational statistics, and computer science in the development of algorithms and software systems for text retrieval. Experts in information modeling and retrieval share their perspectives on the design of scalable but precise text retrieval systems, revealing many of the challenges and obstacles that mathematical and statistical models must overcome to be viable for automated text processing. This very useful proceedings is an excellent companion for courses in information retrieval, applied linear algebra, and applied statistics.



A Theory of Indexing

A Theory of Indexing Author Gerard Salton
ISBN-10 1611970504
Release 1975
Pages 56
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Test results are included which illustrate the effectiveness of the theory.



Mathematics for Classical Information Retrieval Roots and Applications

Mathematics for Classical Information Retrieval  Roots and Applications Author Dariush Alimohammadi
ISBN-10 9781609620042
Release 2010-06-01
Pages 71
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This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). It looks at these topics through their mathematical roots. The mathematical bases of CIR are briefly reviewed, followed by the most important and interesting models of CIR, including Boolean, Vector Space, and Probabilistic. The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases. This book can be helpful for LIS students who are studying IR but have no knowledge of mathematics. Weakness in math impairs the ability to understand current issues in IR. While LIS students are the main target of this book, it may be of interest to computer science and communications students as well.



Advanced Computational Methods for Knowledge Engineering

Advanced Computational Methods for Knowledge Engineering Author Nguyen-Thinh Le
ISBN-10 9783319619118
Release 2017-06-26
Pages 228
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These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management. In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.



Proceedings Second International Conference on Information Processing

Proceedings Second International Conference on Information Processing Author L. M. Patnaik
ISBN-10 9788190694247
Release 2008-01-01
Pages 698
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The proceedings features several key-note addresses in the areas of advanced information processing tools. This area has been recognized to be one of the key five technologies poised to shape the modern society in the next decade. It aptly focuses on the tools and techniques for the development of Information Systems. Emphasis is on pattern recognition and image processing, software engineering, mobile ad hoc networks, security aspects in computer networks, signal processing and hardware synthesis, optimization techniques, data mining and information processing.



Survey of Text Mining

Survey of Text Mining Author Michael W. Berry
ISBN-10 9781475743050
Release 2013-03-14
Pages 244
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Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.



Intelligent Multimedia Databases and Information Retrieval Advancing Applications and Technologies

Intelligent Multimedia Databases and Information Retrieval  Advancing Applications and Technologies Author Yan, Li
ISBN-10 9781613501276
Release 2011-09-30
Pages 334
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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.



Scientific and Engineering Computations for the 21st Century

Scientific and Engineering Computations for the 21st Century Author Masatake Mori
ISBN-10 0444509941
Release 2002
Pages 371
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The 20th century saw tremendous achievements and progress in science and technology. Undoubtedly, computers and computer-related technologies acted as one of vital catalysts for accelerating this progress in the latter half of the century. The contributions of mathematical sciences have been equally profound, and the synergy between mathematics and computer science has played a key role in accelerating the progress of both fields as well as science and engineering. Mathematical sciences will undoubtedly continue to play this vital role in this new century. In particular, mathematical modeling and numerical simulation will continue to be among the essential methodologies for solving massive and complex problems that arise in science, engineering and manufacturing. Underpinning this all from a sound, theoretical perspective will be numerical algorithms. In recognition of this observation, this volume focuses on the following specific topics. (1) Fundamental numerical algorithms (2) Applications of numerical algorithms (3) Emerging technologies. The articles included in this issue by experts on advanced scientific and engineering computations from numerous countries elucidate state-of-the-art achievements in these three topics from various angles and suggest the future directions. Although we cannot hope to cover all the aspects in scientific and engineering computations, we hope that the articles will interest, inform and inspire members of the science and engineering community.



Information retrieval computational and theoretical aspects

Information retrieval  computational and theoretical aspects Author H. S. Heaps
ISBN-10 0123357500
Release 1978
Pages 344
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General concepts; Document data bases for computer search; Question logic and format; Data structures for storage and retrieval; Structure of search programs; Vocabulary characteristics of document data bases; Information theory considerations; Coding and compression of data bases; Example of design of a document retrieval system; Document indexing and term associations; Automatic question modification; Automatic document classification; Concluding remarks.



Rundbrief der Gesellschaft fur Angewandte Mathematik und Mechanik

Rundbrief der Gesellschaft fur Angewandte Mathematik und Mechanik Author Gesellschaft für Angewandte Mathematik und Mechanik
ISBN-10 UOM:39015053995190
Release 2000
Pages
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Rundbrief der Gesellschaft fur Angewandte Mathematik und Mechanik has been writing in one form or another for most of life. You can find so many inspiration from Rundbrief der Gesellschaft fur Angewandte Mathematik und Mechanik also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Rundbrief der Gesellschaft fur Angewandte Mathematik und Mechanik book for free.



National Conference on Frontiers in Applied and Computational Mathematics FACM 2005

National Conference on Frontiers in Applied and Computational Mathematics  FACM 2005 Author Harvir Singh Kasana
ISBN-10 817764792X
Release 2005
Pages 588
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National Conference on Frontiers in Applied and Computational Mathematics FACM 2005 has been writing in one form or another for most of life. You can find so many inspiration from National Conference on Frontiers in Applied and Computational Mathematics FACM 2005 also informative, and entertaining. Click DOWNLOAD or Read Online button to get full National Conference on Frontiers in Applied and Computational Mathematics FACM 2005 book for free.



The Modern Algebra of Information Retrieval

The Modern Algebra of Information Retrieval Author Sándor Dominich
ISBN-10 3540776591
Release 2008-04-03
Pages 330
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This book takes a unique approach to information retrieval by laying down the foundations for a modern algebra of information retrieval based on lattice theory. All major retrieval methods developed so far are described in detail, along with Web retrieval algorithms, and the author shows that they all can be treated elegantly in a unified formal way, using lattice theory as the one basic concept. The book’s presentation is characterized by an engineering-like approach.



String Processing and Information Retrieval

String Processing and Information Retrieval Author Oren Kurland
ISBN-10 9783319024325
Release 2013-09-30
Pages 312
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This book constitutes the refereed proceedings of the 20th International Symposium on String Processing and Information Retrieval, SPIRE 2013, held in Jerusalem, Israel, in October 2013. The 18 full papers, 10 short papers were carefully reviewed and selected from 60 submissions. The program also featured 4 keynote speeches. The following topics are covered: fundamentals algorithms in string processing and information retrieval; SP and IR techniques as applied to areas such as computational biology, DNA sequencing, and Web mining.



Introduction to Information Retrieval

Introduction to Information Retrieval Author Christopher D. Manning
ISBN-10 9781139472104
Release 2008-07-07
Pages
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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.



A First Course in Applied Mathematics

A First Course in Applied Mathematics Author Jorge Rebaza
ISBN-10 9781118229620
Release 2012-04-17
Pages 439
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Explore real–world applications of selected mathematical theory, concepts, and methods Exploring related methods that can be utilized in various fields of practice from science and engineering to business, A First Course in Applied Mathematics details how applied mathematics involves predictions, interpretations, analysis, and mathematical modeling to solve real–world problems. Written at a level that is accessible to readers from a wide range of scientific and engineering fields, the book masterfully blends standard topics with modern areas of application and provides the needed foundation for transitioning to more advanced subjects. The author utilizes MATLAB® to showcase the presented theory and illustrate interesting real–world applications to Google′s web page ranking algorithm, image compression, cryptography, chaos, and waste management systems. Additional topics covered include: Linear algebra Ranking web pages Matrix factorizations Least squares Image compression Ordinary differential equations Dynamical systems Mathematical models Throughout the book, theoretical and applications–oriented problems and exercises allow readers to test their comprehension of the presented material. An accompanying website features related MATLAB® code and additional resources. A First Course in Applied Mathematics is an ideal book for mathematics, computer science, and engineering courses at the upper–undergraduate level. The book also serves as a valuable reference for practitioners working with mathematical modeling, computational methods, and the applications of mathematics in their everyday work.



Natural Language Information Retrieval

Natural Language Information Retrieval Author T. Strzalkowski
ISBN-10 9789401723886
Release 2013-04-17
Pages 384
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The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa tion access has exploded. Emerging applications in computer-assisted infor mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.



Next Generation Search Engines Advanced Models for Information Retrieval

Next Generation Search Engines  Advanced Models for Information Retrieval Author Jouis, Christophe
ISBN-10 9781466603318
Release 2012-03-31
Pages 560
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Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Current search engines employ advanced techniques involving machine learning, social networks, and semantic analysis. Next Generation Search Engines: Advanced Models for Information Retrieval is intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available solutions and to dialogue with software and data providers. The book aims to provide readers with a better idea of the new trends in applied research.