Survey Of Text Mining Clustering Classification And Retrieval

Author : Michael W. Berry
Publisher : Springer Science & Business Media
Page : 251 pages
File Size : 54,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9781475743050

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Survey of Text Mining by Michael W. Berry Pdf

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.

Author : Michael W. Berry,Malu Castellanos
Publisher : Springer Science & Business Media
Page : 243 pages
File Size : 46,8 Mb
Release : 2007-12-10
Category : Computers
ISBN : 9781848000469

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Survey of Text Mining II by Michael W. Berry,Malu Castellanos Pdf

This Second Edition brings readers thoroughly up to date with the emerging field of text mining, the application of techniques of machine learning in conjunction with natural language processing, information extraction, and algebraic/mathematical approaches to computational information retrieval. The book explores a broad range of issues, ranging from the development of new learning approaches to the parallelization of existing algorithms. Authors highlight open research questions in document categorization, clustering, and trend detection. In addition, the book describes new application problems in areas such as email surveillance and anomaly detection.

Author : Anonim
Publisher : Unknown
Page : 240 pages
File Size : 44,6 Mb
Release : 2008
Category : Electronic
ISBN : OCLC:1088866305

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Survey of Text Mining II by Anonim Pdf

Author : Berry Michael W.
Publisher : Unknown
Page : 274 pages
File Size : 51,6 Mb
Release : 2007-01-01
Category : Electronic
ISBN : 8181285816

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Survey Of Text Mining: Clustering, Classification, And Retrieval by Berry Michael W. Pdf

Author : Michael W. Berry
Publisher : Unknown
Page : 264 pages
File Size : 52,9 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 1475743068

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Survey of Text Mining by Michael W. Berry Pdf

Author : Michael W. Berry,Jacob Kogan
Publisher : John Wiley & Sons
Page : 222 pages
File Size : 46,7 Mb
Release : 2010-02-25
Category : Mathematics
ISBN : 047068965X

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Text Mining by Michael W. Berry,Jacob Kogan Pdf

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough.” This book: Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis. Presents a survey of text visualization techniques and looks at the multilingual text classification problem. Discusses the issue of cybercrime associated with chatrooms. Features advances in visual analytics and machine learning along with illustrative examples. Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.

Author : Charu C. Aggarwal,ChengXiang Zhai
Publisher : Springer Science & Business Media
Page : 527 pages
File Size : 41,8 Mb
Release : 2012-02-03
Category : Computers
ISBN : 9781461432234

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Mining Text Data by Charu C. Aggarwal,ChengXiang Zhai Pdf

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Author : Ashok N. Srivastava,Mehran Sahami
Publisher : CRC Press
Page : 330 pages
File Size : 51,5 Mb
Release : 2009-06-15
Category : Business & Economics
ISBN : 9781420059458

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Text Mining by Ashok N. Srivastava,Mehran Sahami Pdf

The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify te

Author : Michael W. Berry,Malu Castellanos
Publisher : Springer
Page : 240 pages
File Size : 49,6 Mb
Release : 2008-03-11
Category : Computers
ISBN : 1848000456

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Survey of Text Mining II by Michael W. Berry,Malu Castellanos Pdf

This Second Edition brings readers thoroughly up to date with the emerging field of text mining, the application of techniques of machine learning in conjunction with natural language processing, information extraction, and algebraic/mathematical approaches to computational information retrieval. The book explores a broad range of issues, ranging from the development of new learning approaches to the parallelization of existing algorithms. Authors highlight open research questions in document categorization, clustering, and trend detection. In addition, the book describes new application problems in areas such as email surveillance and anomaly detection.

Author : Sholom M. Weiss,Nitin Indurkhya,Tong Zhang
Publisher : Springer
Page : 239 pages
File Size : 53,6 Mb
Release : 2015-09-07
Category : Computers
ISBN : 9781447167501

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Fundamentals of Predictive Text Mining by Sholom M. Weiss,Nitin Indurkhya,Tong Zhang Pdf

This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Features: includes chapter summaries and exercises; explores the application of each method; provides several case studies; contains links to free text-mining software.

Author : Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo
Publisher : Springer
Page : 930 pages
File Size : 53,8 Mb
Release : 2017-03-27
Category : Technology & Engineering
ISBN : 9783319565354

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Recent Advances in Information Systems and Technologies by Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo Pdf

This book presents a selection of papers from the 2017 World Conference on Information Systems and Technologies (WorldCIST'17), held between the 11st and 13th of April 2017 at Porto Santo Island, Madeira, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges involved in modern Information Systems and Technologies research, together with technological developments and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics, Computers & Security; Health Informatics; Information Technologies in Education; and Information Technologies in Radiocommunications.

Author : Teresa A. Oliveira,Christos P. Kitsos,Amílcar Oliveira,Luís Grilo
Publisher : Springer
Page : 375 pages
File Size : 43,8 Mb
Release : 2018-08-22
Category : Mathematics
ISBN : 9783319766058

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Recent Studies on Risk Analysis and Statistical Modeling by Teresa A. Oliveira,Christos P. Kitsos,Amílcar Oliveira,Luís Grilo Pdf

This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA.

Author : Joemon M. Jose,Emine Yilmaz,João Magalhães,Pablo Castells,Nicola Ferro,Mário J. Silva,Flávio Martins
Publisher : Springer Nature
Page : 896 pages
File Size : 43,9 Mb
Release : 2020-04-11
Category : Computers
ISBN : 9783030454395

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Advances in Information Retrieval by Joemon M. Jose,Emine Yilmaz,João Magalhães,Pablo Castells,Nicola Ferro,Mário J. Silva,Flávio Martins Pdf

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR – general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials. *Due to the COVID-19 pandemic, this conference was held virtually.

Author : Taeho Jo
Publisher : Springer
Page : 373 pages
File Size : 48,8 Mb
Release : 2018-06-07
Category : Technology & Engineering
ISBN : 9783319918150

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Text Mining by Taeho Jo Pdf

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

Author : Tiako, Pierre F.
Publisher : IGI Global
Page : 3994 pages
File Size : 49,5 Mb
Release : 2009-03-31
Category : Computers
ISBN : 9781605660615

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Software Applications: Concepts, Methodologies, Tools, and Applications by Tiako, Pierre F. Pdf

Includes articles in topic areas such as autonomic computing, operating system architectures, and open source software technologies and applications.