LEADER 05114nam 22006495 450 001 9910483754403321 005 20200630044222.0 010 $a3-030-15939-6 024 7 $a10.1007/978-3-030-15939-9 035 $a(CKB)4100000008618248 035 $a(MiAaPQ)EBC5808239 035 $a(DE-He213)978-3-030-15939-9 035 $z(PPN)258859172 035 $a(PPN)243769989 035 $a(EXLCZ)994100000008618248 100 $a20190703d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovations in Big Data Mining and Embedded Knowledge /$fedited by Anna Esposito, Antonietta M. Esposito, Lakhmi C. Jain 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (286 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v159 311 $a3-030-15938-8 327 $aDesigning a Recommender System for Touristic Activities in a Big Data as a Service Platform -- A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications -- Towards Addressing the Limitations of Educational Policy based on International Large-scale Assessment Data with Castoriadean Magmas -- What do Prospective Students Want? An Observational Study of Preferences About Subject of Study in Higher Education -- Speech Pause Patterns in Collaborative Dialogs. 330 $aThis book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies. 410 0$aIntelligent Systems Reference Library,$x1868-4394 ;$v159 606 $aComputational intelligence 606 $aData mining 606 $aBig data 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aBig data. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aBig Data. 615 24$aBig Data/Analytics. 615 24$aArtificial Intelligence. 676 $a005.7 676 $a005.7 702 $aEsposito$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEsposito$b Antonietta M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483754403321 996 $aInnovations in Big Data Mining and Embedded Knowledge$92845575 997 $aUNINA