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EBookClubs

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Book Text and Document Processing in Science and Technology

Download or read book Text and Document Processing in Science and Technology written by Robert Ransom and published by . This book was released on 1987 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Text and Document Processing in Science and Technology

Download or read book Text and Document Processing in Science and Technology written by Robert J. Ransom and published by Halsted Press. This book was released on 1987-01-01 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Document Processing Using Machine Learning

Download or read book Document Processing Using Machine Learning written by Sk Md Obaidullah and published by CRC Press. This book was released on 2019-11-25 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Book Document Processing Using Machine Learning

Download or read book Document Processing Using Machine Learning written by Sk Md Obaidullah and published by CRC Press. This book was released on 2019-11-25 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Book Document Processing Using Machine Learning

Download or read book Document Processing Using Machine Learning written by Sk Md Obaidullah and published by CRC Press. This book was released on 2019-11-25 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Book Encyclopedia of Information Science and Technology  Second Edition

Download or read book Encyclopedia of Information Science and Technology Second Edition written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2008-10-31 with total page 5266 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

Book Proceedings 2005 Symposium on Document Image Understanding Technology

Download or read book Proceedings 2005 Symposium on Document Image Understanding Technology written by University of Maryland/UMIACS and published by UMD. This book was released on 2005 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book UNIX Document Processing and Typesetting

Download or read book UNIX Document Processing and Typesetting written by Balasubramaniam Srinivasan and published by World Scientific. This book was released on 1993 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the mystery of the computer world unfolds with each revelation of its technology, computer users today look forward to a powerful tool to produce a variety of reports and manuscripts. The Unix system provides a variety of powerful text formatters, and one such typesetting tool is called nroff/troff which can help users unlock the resources and the power of a computer system in the preparation of written documents. nroff is a text formatter for daisy-wheel printers and similar devices while troff is a device-independent text formatter for producing typeset output. These two together provide the facilities of a word processor together with formatting features and enable users to produce output that can be printed onto a variety of devices from line printers to typesetters.This book provides a complete description with regard to the capabilities of Unix document processing and typesetting to a variety of users. It also describes in detail the AT&T supported memorandum macros (mm) package which provides a user friendly interface to nroff/troff. The concept and techniques of typesetting are fully illustrated with examples to unveil the power of Unix's document processing capability.

Book Effective Databases for Text   Document Management

Download or read book Effective Databases for Text Document Management written by Shirley A. Becker and published by IGI Global. This book was released on 2003-01-01 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Focused on the latest research on text and document management, this guide addresses the information management needs of organizations by providing the most recent findings. How the need for effective databases to house information is impacting organizations worldwide and how some organizations that possess a vast amount of data are not able to use the data in an economic and efficient manner is demonstrated. A taxonomy for object-oriented databases, metrics for controlling database complexity, and a guide to accommodating hierarchies in relational databases are provided. Also covered is how to apply Java-triggers for X-Link management and how to build signatures."

Book Encyclopedia of Computer Science and Technology

Download or read book Encyclopedia of Computer Science and Technology written by Phillip A. Laplante and published by CRC Press. This book was released on 2017-10-02 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology.

Book Automatic Digital Document Processing and Management

Download or read book Automatic Digital Document Processing and Management written by Stefano Ferilli and published by Springer Science & Business Media. This book was released on 2011-01-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text reviews the issues involved in handling and processing digital documents. Examining the full range of a document’s lifetime, the book covers acquisition, representation, security, pre-processing, layout analysis, understanding, analysis of single components, information extraction, filing, indexing and retrieval. Features: provides a list of acronyms and a glossary of technical terms; contains appendices covering key concepts in machine learning, and providing a case study on building an intelligent system for digital document and library management; discusses issues of security, and legal aspects of digital documents; examines core issues of document image analysis, and image processing techniques of particular relevance to digitized documents; reviews the resources available for natural language processing, in addition to techniques of linguistic analysis for content handling; investigates methods for extracting and retrieving data/information from a document.

Book Scientific and Technical Aerospace Reports

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Book Annual Review of Information Science and Technology

Download or read book Annual Review of Information Science and Technology written by Blaise Cronin and published by Information Today, Inc.. This book was released on 2004 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARIST, published annually since 1966, is a landmark publication within the information science community. It surveys the landscape of information science and technology, providing an analytical, authoritative, and accessible overview of recent trends and significant developments. The range of topics varies considerably, reflecting the dynamism of the discipline and the diversity of theoretical and applied perspectives. While ARIST continues to cover key topics associated with "classical" information science (e.g., bibliometrics, information retrieval), editor Blaise Cronin is selectively expanding its footprint in an effort to connect information science more tightly with cognate academic and professional communities.

Book Text Databases and Document Management  Theory and Practice

Download or read book Text Databases and Document Management Theory and Practice written by Chin, Amita Goyal and published by IGI Global. This book was released on 2000-07-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of relational databases to store and manage large amounts of limited data types is well proven, but the basics of representing textual information and its subsequent retrieval in a meaningful fashion still provides many challenges. This is because documents do not easily map to traditional database solutions. The primary objective of Text Databases and Document Management: Theory and Practice is to provide a focal point for concrete theories and practices in the handling of textual data as well as documents as a whole.

Book Document Strategy Design Workbook

Download or read book Document Strategy Design Workbook written by Kevin Craine and published by MC2 Books. This book was released on 2002-07 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Trends in Applied Knowledge Based Systems and Data Science

Download or read book Trends in Applied Knowledge Based Systems and Data Science written by Hamido Fujita and published by Springer. This book was released on 2016-07-13 with total page 1021 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, held in Morioka, Japan, in August 2-4, 2016. The 80 revised full papers presented were carefully reviewed and selected from 168 submissions. They are organized in topical sections: data science; knowledge base systems; natural language processing and sentiment analysis; semantic Web and social networks; computer vision; medical diagnosis system and bio-informatics; applied neural networks; innovations in intelligent systems and applications; decision support systems; adaptive control; soft computing and multi-agent systems; evolutionary algorithms and heuristic search; system integration for real-life applications.