LEADER 02832nam 2200793 a 450 001 9910455941303321 005 20200520144314.0 010 $a1-299-05268-1 010 $a1-60344-673-7 010 $a1-58544-894-X 035 $a(CKB)111087028236548 035 $a(OCoLC)607894389 035 $a(CaPaEBR)ebrary10046121 035 $a(SSID)ssj0000153831 035 $a(PQKBManifestationID)11178382 035 $a(PQKBTitleCode)TC0000153831 035 $a(PQKBWorkID)10407917 035 $a(PQKB)11616577 035 $a(MiAaPQ)EBC3037732 035 $a(OCoLC)53976674 035 $a(MdBmJHUP)muse5111 035 $a(Au-PeEL)EBL3037732 035 $a(CaPaEBR)ebr10046121 035 $a(CaONFJC)MIL436518 035 $a(OCoLC)870339584 035 $a(EXLCZ)99111087028236548 100 $a20020814d2003 ub 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFDR's body politics$b[electronic resource] $ethe rhetoric of disability /$fDavis W. Houck and Amos Kiewe 205 $a1st ed. 210 $aCollege Station $cTexas A&M University Press$dc2003 215 $a1 online resource (154 p.) 225 1 $aPresidential rhetoric series ;$vno. 8 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-58544-233-X 320 $aIncludes bibliographical references (p. [133]-138) and index. 327 $aKeeping secrets -- Quo vadis? -- In sickness and in health -- Looking for looker -- A new deal and a new body -- A satisfactory embodiment -- Body politics. 410 0$aPresidential rhetoric series ;$vno. 8. 606 $aPhysical fitness$xPolitical aspects$zUnited States$xHistory$y20th century 606 $aRhetoric$xPolitical aspects$zUnited States$xHistory$y20th century 606 $aHuman body$xSocial aspects$zUnited States$xHistory$y20th century 606 $aPeople with disabilities$zUnited States$vBiography 606 $aPresidents$zUnited States$vBiography 606 $aEnglish language$zUnited States$xRhetoric 606 $aPublic opinion$zUnited States 607 $aUnited States$xPolitics and government$y1933-1945 608 $aElectronic books. 615 0$aPhysical fitness$xPolitical aspects$xHistory 615 0$aRhetoric$xPolitical aspects$xHistory 615 0$aHuman body$xSocial aspects$xHistory 615 0$aPeople with disabilities 615 0$aPresidents 615 0$aEnglish language$xRhetoric. 615 0$aPublic opinion 676 $a973.917/092 676 $aB 700 $aHouck$b Davis W$0888969 701 $aKiewe$b Amos$0886899 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455941303321 996 $aFDR's body politics$92072541 997 $aUNINA LEADER 05367nam 2200685Ia 450 001 9910146147203321 005 20170809170521.0 010 $a1-282-12369-6 010 $a9786612123696 010 $a0-470-05886-2 010 $a0-470-74583-5 010 $a0-470-74582-7 035 $a(CKB)1000000000719673 035 $a(EBL)427914 035 $a(OCoLC)437111479 035 $a(SSID)ssj0000334784 035 $a(PQKBManifestationID)11256939 035 $a(PQKBTitleCode)TC0000334784 035 $a(PQKBWorkID)10270861 035 $a(PQKB)10703575 035 $a(MiAaPQ)EBC427914 035 $a(EXLCZ)991000000000719673 100 $a20090224d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied data mining for business and industry$b[electronic resource] /$fPaolo Giudici, Silvia Figini 205 $a2nd ed. 210 $aHoboken, NJ $cJohn Wiley$d2009 215 $a1 online resource (259 p.) 300 $aDescription based upon print version of record. 311 $a0-470-05887-0 320 $aIncludes bibliographical references and index. 327 $aApplied Data Mining for Business and Industry; Contents; 1 Introduction; Part I Methodology; 2 Organisation of the data; 2.1 Statistical units and statistical variables; 2.2 Data matrices and their transformations; 2.3 Complex data structures; 2.4 Summary; 3 Summary statistics; 3.1 Univariate exploratory analysis; 3.1.1 Measures of location; 3.1.2 Measures of variability; 3.1.3 Measures of heterogeneity; 3.1.4 Measures of concentration; 3.1.5 Measures of asymmetry; 3.1.6 Measures of kurtosis; 3.2 Bivariate exploratory analysis of quantitative data 327 $a3.3 Multivariate exploratory analysis of quantitative data3.4 Multivariate exploratory analysis of qualitative data; 3.4.1 Independence and association; 3.4.2 Distance measures; 3.4.3 Dependency measures; 3.4.4 Model-based measures; 3.5 Reduction of dimensionality; 3.5.1 Interpretation of the principal components; 3.6 Further reading; 4 Model specification; 4.1 Measures of distance; 4.1.1 Euclidean distance; 4.1.2 Similarity measures; 4.1.3 Multidimensional scaling; 4.2 Cluster analysis; 4.2.1 Hierarchical methods; 4.2.2 Evaluation of hierarchical methods; 4.2.3 Non-hierarchical methods 327 $a4.3 Linear regression4.3.1 Bivariate linear regression; 4.3.2 Properties of the residuals; 4.3.3 Goodness of fit; 4.3.4 Multiple linear regression; 4.4 Logistic regression; 4.4.1 Interpretation of logistic regression; 4.4.2 Discriminant analysis; 4.5 Tree models; 4.5.1 Division criteria; 4.5.2 Pruning; 4.6 Neural networks; 4.6.1 Architecture of a neural network; 4.6.2 The multilayer perceptron; 4.6.3 Kohonen networks; 4.7 Nearest-neighbour models; 4.8 Local models; 4.8.1 Association rules; 4.8.2 Retrieval by content; 4.9 Uncertainty measures and inference; 4.9.1 Probability 327 $a4.9.2 Statistical models4.9.3 Statistical inference; 4.10 Non-parametric modelling; 4.11 The normal linear model; 4.11.1 Main inferential results; 4.12 Generalised linear models; 4.12.1 The exponential family; 4.12.2 Definition of generalised linear models; 4.12.3 The logistic regression model; 4.13 Log-linear models; 4.13.1 Construction of a log-linear model; 4.13.2 Interpretation of a log-linear model; 4.13.3 Graphical log-linear models; 4.13.4 Log-linear model comparison; 4.14 Graphical models; 4.14.1 Symmetric graphical models; 4.14.2 Recursive graphical models 327 $a4.14.3 Graphical models and neural networks4.15 Survival analysis models; 4.16 Further reading; 5 Model evaluation; 5.1 Criteria based on statistical tests; 5.1.1 Distance between statistical models; 5.1.2 Discrepancy of a statistical model; 5.1.3 Kullback-Leibler discrepancy; 5.2 Criteria based on scoring functions; 5.3 Bayesian criteria; 5.4 Computational criteria; 5.5 Criteria based on loss functions; 5.6 Further reading; Part II Business case studies; 6 Describing website visitors; 6.1 Objectives of the analysis; 6.2 Description of the data; 6.3 Exploratory analysis; 6.4 Model building 327 $a6.4.1 Cluster analysis 330 $aThe increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications.Cove 606 $aData mining 606 $aBusiness$xData processing 606 $aCommercial statistics 608 $aElectronic books. 615 0$aData mining. 615 0$aBusiness$xData processing. 615 0$aCommercial statistics. 676 $a005.74068 676 $a006.312 700 $aGiudici$b Paolo$081878 701 $aFigini$b Silvia$0862238 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910146147203321 996 $aApplied data mining for business and industry$91924677 997 $aUNINA LEADER 01238nam 2200433 450 001 9910485590203321 005 20220704143216.0 010 $a3-030-74572-4 035 $a(CKB)5590000000487508 035 $a(MiAaPQ)EBC6648209 035 $a(Au-PeEL)EBL6648209 035 $a(PPN)258065648 035 $a(EXLCZ)995590000000487508 100 $a20220606d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aChondrosarcoma $ebiology and clinical management /$fedited by Francis J. Hornicek 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (309 pages) 311 $a3-030-74571-6 320 $aIncludes bibliographical references and index. 606 $aSoft tissue tumors 606 $aCàncer d'ossos$2thub 608 $aLlibres electrònics$2thub 615 0$aSoft tissue tumors. 615 7$aCàncer d'ossos 676 $a616.99471 702 $aHornicek$b Francis J. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910485590203321 996 $aChondrosarcoma$92841249 997 $aUNINA LEADER 03703nam 2200517 450 001 9910830355803321 005 20230410182226.0 010 $a1-118-41278-8 010 $a1-118-39190-X 010 $a1-283-64437-1 010 $a1-118-39191-8 035 $a(CKB)4330000000002605 035 $a(MiAaPQ)EBC947705 035 $a(MiAaPQ)EBC4034777 035 $a(DLC) 2012016956 035 $a(PPN)187881510 035 $a(OCoLC)789661692 035 $a(EXLCZ)994330000000002605 100 $a20160405h20132013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEstuarine ecology /$fedited by John W. Day Jr. [and three others] 205 $a2nd ed. 210 1$aHoboken, New Jersey :$cWiley-Blackwell,$d2013. 210 4$d©2013 215 $a1 online resources (xiv, 550 pages) 300 $aIncludes index. 311 $a0-471-75567-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aMachine generated contents note: 1. Introduction to Estuarine Ecology John W. Day, Jr., Alejandro Yañez-Arancibia, W. Michael Kemp, and Byron C. Crump 2. Estuarine Geomorphology and Coastal Hydrology Gregg A. Snedden, Jaye E. Cable, and Bjorn Kjerfve 3. Estuarine Chemistry Thomas S. Bianchi 4. Estuarine Phytoplankton Hans W. Paerl and Dubravko Justi? 5. Seagrass and Related Submersed Vascular Plants Jens Borum, Renee K. Gruber, and W. Michael Kemp 6. Coastal Marshes Carles Ibañez, James T. Morris, Irving A. Mendelssohn, and John W. Day, Jr. 7. Mangrove Wetlands Robert R. Twilley and John Day, Jr 8. Estuarine Benthic Algae Karen J. McGlathery, Kristina Sundback, and Peggy Fong 9. Estuarine Microbial Ecology Linda K. Blum and Aaron L. Mills 10. Estuarine Microbial Food Webs Byron C. Crump, Hugh W. Ducklow, and John E. Hobbie 11. Estuarine Zooplankton Mark C. Benfield 12. Estuarine Benthos James G. Wilson and John W. Fleeger 13. Estuarine Nekton James H. Cowan, Jr., Alejandro Yañez-Arancibia, Patricia Sanchez-Gil, and Linda A. Deegan 14. The Ecology of Estuarine Wildlife Russell Greenberg 15. Ecosystem Metabolism Jeremy M. Testa, W. Michael Kemp, Charles S. Hopkinson, Jr. and Stephen V. Smith 16. Estuarine Food Webs James D. Hagy III and W. Michael Kemp 17. Budget Analyses of Estuarine Ecosystems Walter R. Boynton and Scott W. Nixon 18. Fisheries in Lagoon-Estuarine Ecosystems Daniel Pauly and Alejandro Yañez-Arancibia 19. Human Impact and Management of Estuarine Ecosystems John W. Day, Jr., Alejandro Yañez-Arancibia, and W. Michael Kemp 20. Global Climate Change and Estuarine Systems John M. Rybczyk, John W. Day, Jr., Alejandro Yañez-Arancibia, and James H. Cowan 21. Estuarine Ecological Modeling Enrique Reyes, Kenneth Rose, and Dubravko Justic. 330 $a"Estuarine Ecology, Second Edition, covers the physical and chemical aspects of estuaries, the biology and ecology of key organisms, the flow of organic matter through estuaries, and human interactions, such as the environmental impact of fisheries on estuaries and the effects of global climate change on these important ecosystems. The second edition of this respected textbook provides much-needed updates and new chapters covering key topics in estuarine ecology"--$cProvided by publisher. 606 $aEstuarine ecology 615 0$aEstuarine ecology. 676 $a577.7/86 686 $aSCI020000$2bisacsh 702 $aDay$b John W.$f1945- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830355803321 996 $aEstuarine ecology$94083540 997 $aUNINA