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020 _a9783031008283
024 7 _a10.1007/978-3-031-00828-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.S63
_b2022 EB
245 0 0 _aRecent Advances in Soft Computing and Data Mining :
_bProceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022
_cedited by Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XV, 402 páginas)
_b161 ilustraciones, 115 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3389
_v457
520 _aThis book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach the problem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9166276
_aSoft Computing
650 7 _2embne
_9162648
_aData mining
700 1 _aGhazali, Rozaida
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMohd Nawi, Nazri
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDeris, Mustafa Mat
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAbawajy, Jemal H.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aArbaiy, Nureize
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031008276
776 0 8 _iPrinted edition:
_z9783031008290
776 0 8 _iPrinted edition:
_z9783031008306
776 0 8 _iPrinted edition:
_z9783031030864
776 0 8 _iPrinted edition:
_z9783031030857
776 0 8 _iPrinted edition:
_z9783031030840
776 0 8 _iPrinted edition:
_z9783031030833
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-00828-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b07/2022
_dz
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_zSI