LEADER 04116nam 22006015 450 001 9910484960203321 005 20200705145842.0 010 $a981-15-1918-8 024 7 $a10.1007/978-981-15-1918-5 035 $a(CKB)4100000010118360 035 $a(MiAaPQ)EBC6026432 035 $a(DE-He213)978-981-15-1918-5 035 $a(PPN)243765142 035 $a(EXLCZ)994100000010118360 100 $a20200117d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Integrations of Intelligent Methods $ePost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /$fedited by Ioannis Hatzilygeroudis, Isidoros Perikos, Foteini Grivokostopoulou 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (171 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v170 311 $a981-15-1917-X 320 $aIncludes bibliographical references. 327 $aAligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs using Data Mining Techniques -- Edge-Centric Queries Stream Management based on an Ensemble Model -- Bitcoin Price Prediction Combining Data and Text Mining -- Towards New Evaluation Metrics for Relational Learning -- Color Models for Skin Lesions Classification from Dermatoscopic Images -- Methods of Statistical Analysis and Machine Learning for the Evaluation of Generated Hardware and Firmware Designs -- Genetic Algorithms for Creating Large Job Shop Dispatching Rules. 330 $aThis book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v170 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aElectrical engineering 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aElectrical engineering. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aCommunications Engineering, Networks. 676 $a006.3 702 $aHatzilygeroudis$b Ioannis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPerikos$b Isidoros$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGrivokostopoulou$b Foteini$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484960203321 996 $aAdvances in Integrations of Intelligent Methods$92034100 997 $aUNINA