LEADER 01810nam 2200517 450 001 9910808899603321 005 20230126220254.0 010 $a91-7519-215-2 035 $a(CKB)3790000000058923 035 $a(SSID)ssj0001559820 035 $a(PQKBManifestationID)16191270 035 $a(PQKBTitleCode)TC0001559820 035 $a(PQKBWorkID)14824410 035 $a(PQKB)11118265 035 $a(MiAaPQ)EBC3328155 035 $a(EXLCZ)993790000000058923 100 $a20141022h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAmbivalent ambiguity? $ea study of how women with "atypical" sex development make sense of female embodiment /$fLisa Guntram 210 1$aLinko?ping, Sweden :$cLinko?ping University,$d2014. 210 4$d©2014 215 $a1 online resource (99 pages) 225 1 $aLinko?ping Studies in Arts and Science,$x0282-9800 ;$vNumber 633 225 0 $aDissertations in Health and Society ;$v25 300 $aBibliographic Level Mode of Issuance: Monograph 320 $aIncludes bibliographical references. 410 0$aLinko?ping studies in arts and science ;$vNumber 633. 606 $aIntersex people$xPsychological aspects 606 $aTurner's syndrome$xPsychological aspects$xResearch 606 $aWomen with disabilities$xSocial conditions 615 0$aIntersex people$xPsychological aspects. 615 0$aTurner's syndrome$xPsychological aspects$xResearch. 615 0$aWomen with disabilities$xSocial conditions. 676 $a616.8583 700 $aGuntram$b Lisa$01675889 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808899603321 996 $aAmbivalent ambiguity$94041683 997 $aUNINA LEADER 03734nam 22006375 450 001 9910349321003321 005 20250504233850.0 010 $a3-030-22625-5 024 7 $a10.1007/978-3-030-22625-1 035 $a(CKB)4100000009191147 035 $a(DE-He213)978-3-030-22625-1 035 $a(MiAaPQ)EBC5894115 035 $a(PPN)26914904X 035 $a(EXLCZ)994100000009191147 100 $a20190909d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTargeting Uplift $eAn Introduction to Net Scores /$fby René Michel, Igor Schnakenburg, Tobias von Martens 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXXII, 352 p. 144 illus., 119 illus. in color.) 311 08$a3-030-22624-7 327 $aList of Symbols -- List of Figures -- List of Tables -- Introduction -- The Traditional Approach: Gross Scoring -- Basic Net Scoring Methods: The Uplift Approach -- Validation of Net Models: Measuring Stability and Discriminatory Power -- Supplementary Methods for Variable Transformation and Selection -- A Simulation Framework for the Validation of Research Hypotheses on Net Scoring -- Software Implementations -- Data Prerequisites -- Practical Issues and Business Cases -- Summary and Outlook -- Appendix -- Other Literature on Net Scoring -- Index.-. 330 $aThis book explores all relevant aspects of net scoring, also known as uplift modeling: a data mining approach used to analyze and predict the effects of a given treatment on a desired target variable for an individual observation. After discussing modern net score modeling methods, data preparation, and the assessment of uplift models, the book investigates software implementations and real-world scenarios. Focusing on the application of theoretical results and on practical issues of uplift modeling, it also includes a dedicated chapter on software solutions in SAS, R, Spectrum Miner, and KNIME, which compares the respective tools. This book also presents the applications of net scoring in various contexts, e.g. medical treatment, with a special emphasis on direct marketing and corresponding business cases. The target audience primarily includes data scientists, especially researchers and practitioners in predictive modeling and scoring, mainly, but not exclusively, in the marketingcontext. . 606 $aStatistics 606 $aBusiness information services 606 $aData mining 606 $aMarketing 606 $aStatistics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aBusiness Information Systems 606 $aData Mining and Knowledge Discovery 606 $aMarketing 606 $aStatistical Theory and Methods 615 0$aStatistics. 615 0$aBusiness information services. 615 0$aData mining. 615 0$aMarketing. 615 0$aStatistics. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aBusiness Information Systems. 615 24$aData Mining and Knowledge Discovery. 615 24$aMarketing. 615 24$aStatistical Theory and Methods. 676 $a330.015195 676 $a006.312 700 $aMichel$b René$4aut$4http://id.loc.gov/vocabulary/relators/aut$0781716 702 $aSchnakenburg$b Igor$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $avon Martens$b Tobias$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910349321003321 996 $aTargeting Uplift$92510589 997 $aUNINA