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020 _a9780857291981
_99780857291981
024 7 _a10.1007/9780857291981
_2doi
035 _avtls000333836
039 9 _a201509030241
_bVLOAD
_c201404130542
_dVLOAD
_c201404092331
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA1637-1638
100 1 _aFerilli, Stefano.
_eautor
_9305453
245 1 0 _aAutomatic Digital Document Processing and Management :
_bProblems, Algorithms and Techniques /
_cby Stefano Ferilli.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2011.
300 _axxvI, 297 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Pattern Recognition,
_x2191-6586
500 _aSpringer eBooks
505 0 _aPart I: Digital Documents -- Documents -- Digital Formats -- Legal and Security Aspects -- Part II: Document Analysis -- Image Processing -- Document Image Analysis -- Part III: Content Processing -- Natural Language Processing -- Information Management.
520 _aComputer-readable documents have become ubiquitous in everyday life - from legacy documents that have been digitized, to new documents that have been created electronically. As the number of electronic documents continues to grow, so does the importance of digital methods for processing and managing these documents. This comprehensive text/reference provides a broad review of 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. A background knowledge of the area is not required, beyond familiarity with basic concepts of computer science and mathematics; deeper technical content is provided in discrete subsections that are not essential for an understanding of other parts of the book. Topics and features: With a Foreword by Professor George Nagy of Rensselaer Polytechnic Institute, New York, USA 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, including representation at a semantic level Undergraduate and graduate students will find the text a valuable general reference on the subject, and researchers will discover how their specific area of interest is interrelated with other disciplines involved in digital document processing. The book also supplies a repertoire of potential technological solutions for professionals working on digital documents. Dr. Stefano Ferilli is an associate professor at the University of Bari, Italy, where he is Director of the Interdepartmental Center for Logic and Applications.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780857291974
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-198-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c280493
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