LEADER 03442nam 22005775 450 001 9910568247203321 005 20230614131809.0 010 $a3-031-00828-6 024 7 $a10.1007/978-3-031-00828-3 035 $a(MiAaPQ)EBC6976044 035 $a(Au-PeEL)EBL6976044 035 $a(CKB)21957545400041 035 $a(DE-He213)978-3-031-00828-3 035 $a(PPN)263903419 035 $a(EXLCZ)9921957545400041 100 $a20220503d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Soft Computing and Data Mining $eProceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022 /$fedited by Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (415 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v457 311 08$aPrint version: Ghazali, Rozaida Recent Advances in Soft Computing and Data Mining Cham : Springer International Publishing AG,c2022 9783031008276 320 $aIncludes bibliographical references and index. 330 $aThis book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach the problem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v457 606 $aComputational intelligence 606 $aEngineering?Data processing 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aData Engineering 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aEngineering?Data processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aArtificial Intelligence. 676 $a006.312 702 $aGhazali$b Rozaida 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910568247203321 996 $aRecent Advances in Soft Computing and Data Mining$92845101 997 $aUNINA