Clustering And Information Retrieval

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Clustering and Information Retrieval

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Author by : Weili Wu
Languange Used : English, France, Spanish, Italia and chinese
Page : 330
Isbn : 1461302277
Identifier : 9781461302278
Release : 2013-12-01
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Clustering And Information Retrieval by Weili Wu and you can download with pub, pdf, txt, doc, and more file format with free account. clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. in this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. the first two chapters discuss clustering algorithms. the chapter from baeza-yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. the chapter by guha, rastogi, and shim presents a survey as well as detailed discussion of two clustering algorithms: cure and rock for numeric data and categorical data respectively. evaluation methodologies are addressed in the next two chapters. ertoz et al. demonstrate the use of text retrieval benchmarks, such as trecs, to evaluate clustering algorithms. he et al. provide objective measures of clustering quality in their chapter. applications of clustering methods to information retrieval is ad dressed in the next four chapters. chu et al. and noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. wen et al. and sung et al. discuss applications of clustering to user queries and data cleansing. finally, we consider the problem of designing architectures for infor mation retrieval. crichton, hughes, and kelly elaborate on the devel opment of a scientific data system architecture for information retrieval.

Introduction to Information Retrieval

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Author by : Christopher D. Manning
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn : 1139472100
Identifier : 9781139472104
Release : 2008-07-07
Publisher by : Cambridge University Press
Category : Computers
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Description : Read Now Introduction To Information Retrieval by Christopher D. Manning and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

Fuzzy Sets in Information Retrieval and Cluster Analysis

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Author by : S. Miyamoto
Languange Used : English, France, Spanish, Italia and chinese
Page : 264
Isbn : 9401578877
Identifier : 9789401578875
Release : 2012-12-06
Publisher by : Springer Science & Business Media
Category : Mathematics
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Description : Read Now Fuzzy Sets In Information Retrieval And Cluster Analysis by S. Miyamoto and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

Information Storage and Retrieval Systems Theory and Implementation

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Author by : Gerald J. Kowalski
Languange Used : English, France, Spanish, Italia and chinese
Page : 318
Isbn : 0306470314
Identifier : 9780306470318
Release : 2006-04-11
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Information Storage And Retrieval Systems by Gerald J. Kowalski and you can download with pub, pdf, txt, doc, and more file format with free account. chapter 1 places into perspective a total information storage and retrieval system. this perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. bounding a problem is still essential in deriving theoretical results. but the commercialization and insertion of this technology into systems like the internet that are widely being used changes the way problems are bounded. from a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. the dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. the best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. understanding the differences between digital libraries and information retrieval systems will add an additional dimension to the potential future development of systems. the collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques.

Natural Language Information Retrieval

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Author by : T. Strzalkowski
Languange Used : English, France, Spanish, Italia and chinese
Page : 384
Isbn : 9401723885
Identifier : 9789401723886
Release : 2013-04-17
Publisher by : Springer Science & Business Media
Category : Language Arts & Disciplines
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Description : Read Now Natural Language Information Retrieval by T. Strzalkowski and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

String Processing and Information Retrieval 13th International Conference, SPIRE 2006, Glasgow, UK, October 11-13, 2006, Proceedings

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Author by : Fabio Crestani
Languange Used : English, France, Spanish, Italia and chinese
Page : 366
Isbn : 3540457747
Identifier : 9783540457749
Release : 2006-09-29
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now String Processing And Information Retrieval by Fabio Crestani and you can download with pub, pdf, txt, doc, and more file format with free account. this book constitutes the refereed proceedings of the 13th international conference on string processing and information retrieval, spire 2006, held in glasgpw, uk in october 2006. the 26 revised full papers and 5 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 102 submissions. the papers are organized in topical sections on web clustering and text categorisation, strings, user behaviour, web search algorithms, compression, correction, information retrieval applications, bio-informatics, and web search engines.

Survey of Text Mining Clustering, Classification, and Retrieval

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Author by : Michael W. Berry
Languange Used : English, France, Spanish, Italia and chinese
Page : 244
Isbn : 147574305X
Identifier : 9781475743050
Release : 2013-03-14
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Survey Of Text Mining by Michael W. Berry and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

Visualization for Information Retrieval

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Author by : Jin Zhang
Languange Used : English, France, Spanish, Italia and chinese
Page : 294
Isbn : 3540751483
Identifier : 9783540751489
Release : 2007-11-24
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Visualization For Information Retrieval by Jin Zhang and you can download with pub, pdf, txt, doc, and more file format with free account. information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. they will be introduced to existing problems along with technical and theoretical findings. the book also provides practical details for the implementation of an information retrieval visualization system.

Author by : David Banks
Languange Used : English, France, Spanish, Italia and chinese
Page : 658
Isbn : 3642171036
Identifier : 9783642171031
Release : 2011-01-07
Publisher by : Springer Science & Business Media
Category : Language Arts & Disciplines
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Description : Read Now Classification Clustering And Data Mining Applications by David Banks and you can download with pub, pdf, txt, doc, and more file format with free account. this volume describes new methods with special emphasis on classification and cluster analysis. these methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Advances in Information Retrieval Recent Research from the Center for Intelligent Information Retrieval

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Author by : Center for Intelligent Information Retrieval
Languange Used : English, France, Spanish, Italia and chinese
Page : 306
Isbn : 9780792378129
Identifier : 0792378121
Release : 2000-04-30
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Advances In Information Retrieval by Center for Intelligent Information Retrieval and you can download with pub, pdf, txt, doc, and more file format with free account. the nsf center for intelligent information retrieval (ciir) was formed in the computer science department of the university of massachusetts, amherst, in 1992. through its efforts in basic research, applied research, and technology transfer, the ciir has become known internationally as one of the leading research groups in the area of information retrieval. the ciir focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed text and multimedia databases. the scope of the work that is done in the ciir is broad and goes significantly beyond `traditional' areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. the research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval. advances in information retrieval: recent research from the center for intelligent information retrieval is a collection of papers that covers a wide variety of topics in the general area of information retrieval. together, they represent a snapshot of the state of the art in information retrieval at the turn of the century and at the end of a decade that has seen the advent of the world-wide web. the papers provide overviews and in-depth analysis of theory and experimental results. this book can be used as source material for graduate courses in information retrieval, and as a reference for researchers and practitioners in industry.

Semi-supervised Learning

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Author by : Olivier Chapelle
Languange Used : English, France, Spanish, Italia and chinese
Page : 508
Isbn : 9780262514125
Identifier : 0262514125
Release : 2010
Publisher by : Mit Press
Category : Computers
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Description : Read Now Semi Supervised Learning by Olivier Chapelle and you can download with pub, pdf, txt, doc, and more file format with free account. in the field of machine learning, semi-supervised learning (ssl) occupies the middleground, between supervised learning (in which all training examples are labeled) and unsupervisedlearning (in which no label data are given). interest in ssl has increased in recent years,particularly because of application domains in which unlabeled data are plentiful, such as images,text, and bioinformatics. this first comprehensive overview of ssl presents state-of-the-artalgorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectiveson ongoing and future research.semi-supervised learning first presents the key assumptions and ideasunderlying the field: smoothness, cluster or low-density separation, manifold structure, andtransduction. the core of the book is the presentation of ssl methods, organized according toalgorithmic strategies. after an examination of generative models, the book describes algorithmsthat implement the low-density separation assumption, graph-based methods, and algorithms thatperform two-step learning. the book then discusses ssl applications and offers guidelines for sslpractitioners by analyzing the results of extensive benchmark experiments. finally, the book looksat interesting directions for ssl research. the book closes with a discussion of the relationshipbetween semi-supervised learning and transduction.olivier chapelle and alexander zien are researchscientists and bernhard schölkopf is professor and director at the max planck institute forbiological cybernetics in tübingen. schölkopf is coauthor of learning with kernels (mit press, 2002)and is a coeditor of advances in kernel methods: support vector learning (1998), advances inlarge-margin classifiers (2000), and kernel methods in computational biology (2004), all publishedby the mit press.

Information Retrieval Architecture and Algorithms

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Author by : Gerald Kowalski
Languange Used : English, France, Spanish, Italia and chinese
Page : 305
Isbn : 9781441977168
Identifier : 1441977163
Release : 2010-12-01
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Information Retrieval Architecture And Algorithms by Gerald Kowalski and you can download with pub, pdf, txt, doc, and more file format with free account. this text presents a theoretical and practical examination of the latest developments in information retrieval and their application to existing systems. by starting with a functional discussion of what is needed for an information system, the reader can grasp the scope of information retrieval problems and discover the tools to resolve them. the book takes a system approach to explore every functional processing step in a system from ingest of an item to be indexed to displaying results, showing how implementation decisions add to the information retrieval goal, and thus providing the user with the needed outcome, while minimizing their resources to obtain those results. the text stresses the current migration of information retrieval from just textual to multimedia, expounding upon multimedia search, retrieval and display, as well as classic and new textual techniques. it also introduces developments in hardware, and more importantly, search architectures, such as those introduced by google, in order to approach scalability issues. about this textbook: a first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, complete with challenging exercises approaches information retrieval from a practical systems view in order for the reader to grasp both scope and solutions features what is achievable using existing technologies and investigates what deficiencies warrant additional exploration