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| 020 | _a9783031008283 | ||
| 024 | 7 |
_a10.1007/978-3-031-00828-3 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA76.9.S63 _b2022 EB |
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_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 |
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| 300 |
_a1 recurso en línea (XV, 402 páginas) _b161 ilustraciones, 115 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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_aLecture Notes in Networks and Systems _x2367-3389 _v457 |
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| 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 |
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| 650 | 7 |
_2embne _9162648 _aData mining |
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| 700 | 1 |
_aGhazali, Rozaida _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMohd Nawi, Nazri _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aDeris, Mustafa Mat _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aAbawajy, Jemal H. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aArbaiy, Nureize _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031008276 |
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_iPrinted edition: _z9783031008290 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031008306 |
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_iPrinted edition: _z9783031030864 |
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_iPrinted edition: _z9783031030857 |
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_iPrinted edition: _z9783031030840 |
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_iPrinted edition: _z9783031030833 |
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_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) |
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_b07/2022 _dz _esc _zSI |
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