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020 _a9780387098234
020 _z9780387098227
024 7 _a10.1007/978-0-387-09823-4
_2doi
037 _a978-0-387-09822-7
_bSpringer
_nhttp://www.springerlink.com
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050 4 _aQA76.9 .D343
_b2010 EB
245 0 0 _aData Mining and Knowledge Discovery Handbook
_cedited by Oded Maimon and Lior Rokach
250 _aSecond edition
264 1 _aNew York
_bSpringer
_c2010
300 _a1 recurso en línea (1285 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aSpringer series in solid-state sciences Magnetic bubble technology
504 _aIncludes bibliographical references and index
505 0 _apt. 1. Preprocessing methods -- pt. 2. Supervised methods -- pt. 3. Unsupervised methods -- pt. 4. Soft computing methods -- pt. 5. Supporting methods -- pt. 6. Advanced methods -- pt. 7. Applications -- pt. 8. Software
520 _aKnowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered - this is the challenge created by today's abundance of data. Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management.
546 _aEnglish
650 7 _aData mining
_2embne
_9162648
650 7 _aGestión del conocimiento
_2embne
_9157801
700 1 _aMaimon, Oded
_eeditor literario
700 1 _aRokach, Lior
_eeditor literario
856 4 0 _uhttp://search.ebscohost.com//login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=373542
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2022
_dz
_eu
_zSI