000 03338nam a22005415i 4500
003 DE-He213
005 20191014003539.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 6 4 _a9783642045332
_9978-3-642-04533-2
024 8 7 _a10.1007/978-3-642-04533-2
_2doi
050 8 4 _aTA329-348
050 8 4 _aTA640-643
072 8 7 _aTBJ
_2bicssc
072 8 7 _aMAT003000
_2bisacsh
082 _a519
_223
100 8 1 _aSilva, Catarina.
_eauthor.
_9156425
245 9 7 _aInductive Inference for Large Scale Text Classification
_h[electronic resource] :
_bKernel Approaches and Techniques /
_cby Catarina Silva, Bernardete Ribeiro.
001 000067149
300 6 4 _aXX, 155 p.
_bonline resource.
490 8 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v255
505 8 0 _aFundamentals -- Background on Text Classification -- Kernel Machines for Text Classification -- Approaches and techniques -- Enhancing SVMs for Text Classification -- Scaling RVMs for Text Classification -- Distributing Text Classification in Grid Environments -- Framework for Text Classification.
520 6 4 _aText classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.
650 8 0 _aEngineering.
_9156426
650 8 0 _aArtificial intelligence.
_98970
650 8 0 _aText processing (Computer science.
_918799
650 8 0 _aComputational linguistics.
_9156427
650 8 0 _aEngineering mathematics.
_99629
650 _aEngineering.
_9156426
650 _aAppl.Mathematics/Computational Methods of Engineering.
_99631
650 _aDocument Preparation and Text Processing.
_918803
650 _aComputational Linguistics.
_9156428
650 _aArtificial Intelligence (incl. Robotics).
_98973
700 8 1 _aRibeiro, Bernardete.
_eauthor.
_9156429
710 8 2 _aSpringerLink (Online service)
_9156430
773 8 0 _tSpringer eBooks
776 _iPrinted edition:
_z9783642045325
830 8 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v255
_9156431
856 _uhttp://dx.doi.org/10.1007/978-3-642-04533-2
_zde clik aquí para ver el libro electrónico
264 8 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
336 6 4 _atext
_btxt
_2rdacontent
337 6 4 _acomputer
_bc
_2rdamedia
338 6 4 _aonline resource
_bcr
_2rdacarrier
347 6 4 _atext file
_bPDF
_2rda
516 6 4 _aZDB-2-ENG
999 _c66879
_d66879
942 _c05