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Data analysis and data mining [[electronic resource] ] : an introduction / / Adelchi Azzalini and Bruno Scarpa ; [text revised by Gabriel Walton]
| Data analysis and data mining [[electronic resource] ] : an introduction / / Adelchi Azzalini and Bruno Scarpa ; [text revised by Gabriel Walton] |
| Autore | Azzalini Adelchi |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2012 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 006.3/12 |
| Altri autori (Persone) |
ScarpaBruno
WaltonGabriel |
| Soggetto topico | Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-59575-2
9786613625588 0-19-990928-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Preface; Preface to the English Edition; 1. Introduction; 1.1. New problems and new opportunities; 1.2. All models are wrong; 1.3. A matter of style; 2. A-B-C; 2.1. Old friends: Linear models; 2.2. Computational aspects; 2.3. Likelihood; 2.4. Logistic regression and GLM; Exercises; 3. Optimism, Conflicts, and Trade-offs; 3.1. Matching the conceptual frame and real life; 3.2. A simple prototype problem; 3.3. If we knew f (x). . .; 3.4. But as we do not know f (x). . .; 3.5. Methods for model selection; 3.6. Reduction of dimensions and selection of most appropriate model
Exercises4. Prediction of Quantitative Variables; 4.1. Nonparametric estimation: Why?; 4.2. Local regression; 4.3. The curse of dimensionality; 4.4. Splines; 4.5. Additive models and GAM; 4.6. Projection pursuit; 4.7. Inferential aspects; 4.8. Regression trees; 4.9. Neural networks; 4.10. Case studies; Exercises; 5. Methods of Classification; 5.1. Prediction of categorical variables; 5.2. An introduction based on a marketing problem; 5.3. Extension to several categories; 5.4. Classification via linear regression; 5.5. Discriminant analysis; 5.6. Some nonparametric methods 5.7. Classification trees5.8. Some other topics; 5.9. Combination of classifiers; 5.10. Case studies; Exercises; 6. Methods of Internal Analysis; 6.1. Cluster analysis; 6.2. Associations among variables; 6.3. Case study: Web usage mining; Appendix A: Complements of Mathematics and Statistics; A.1. Concepts on linear algebra; A.2. Concepts of probability theory; A.3. Concepts of linear models; Appendix B: Data Sets; B.1. Simulated data; B.2. Car data; B.3. Brazilian bank data; B.4. Data for telephone company customers; B.5. Insurance data; B.6. Choice of fruit juice data B.7. Customer satisfactionB.8. Web usage data; Appendix C: Symbols and Acronyms; References; Author Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; V; W; Z; Subject Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W |
| Record Nr. | UNINA-9910452304903321 |
Azzalini Adelchi
|
||
| Oxford ; ; New York, : Oxford University Press, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and data mining [[electronic resource] ] : an introduction / / Adelchi Azzalini and Bruno Scarpa ; [text revised by Gabriel Walton]
| Data analysis and data mining [[electronic resource] ] : an introduction / / Adelchi Azzalini and Bruno Scarpa ; [text revised by Gabriel Walton] |
| Autore | Azzalini Adelchi |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2012 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 006.3/12 |
| Altri autori (Persone) |
ScarpaBruno
WaltonGabriel |
| Soggetto topico | Data mining |
| ISBN |
0-19-994271-4
1-280-59575-2 9786613625588 0-19-990928-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Preface; Preface to the English Edition; 1. Introduction; 1.1. New problems and new opportunities; 1.2. All models are wrong; 1.3. A matter of style; 2. A-B-C; 2.1. Old friends: Linear models; 2.2. Computational aspects; 2.3. Likelihood; 2.4. Logistic regression and GLM; Exercises; 3. Optimism, Conflicts, and Trade-offs; 3.1. Matching the conceptual frame and real life; 3.2. A simple prototype problem; 3.3. If we knew f (x). . .; 3.4. But as we do not know f (x). . .; 3.5. Methods for model selection; 3.6. Reduction of dimensions and selection of most appropriate model
Exercises4. Prediction of Quantitative Variables; 4.1. Nonparametric estimation: Why?; 4.2. Local regression; 4.3. The curse of dimensionality; 4.4. Splines; 4.5. Additive models and GAM; 4.6. Projection pursuit; 4.7. Inferential aspects; 4.8. Regression trees; 4.9. Neural networks; 4.10. Case studies; Exercises; 5. Methods of Classification; 5.1. Prediction of categorical variables; 5.2. An introduction based on a marketing problem; 5.3. Extension to several categories; 5.4. Classification via linear regression; 5.5. Discriminant analysis; 5.6. Some nonparametric methods 5.7. Classification trees5.8. Some other topics; 5.9. Combination of classifiers; 5.10. Case studies; Exercises; 6. Methods of Internal Analysis; 6.1. Cluster analysis; 6.2. Associations among variables; 6.3. Case study: Web usage mining; Appendix A: Complements of Mathematics and Statistics; A.1. Concepts on linear algebra; A.2. Concepts of probability theory; A.3. Concepts of linear models; Appendix B: Data Sets; B.1. Simulated data; B.2. Car data; B.3. Brazilian bank data; B.4. Data for telephone company customers; B.5. Insurance data; B.6. Choice of fruit juice data B.7. Customer satisfactionB.8. Web usage data; Appendix C: Symbols and Acronyms; References; Author Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; V; W; Z; Subject Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W |
| Record Nr. | UNINA-9910779181603321 |
|
Azzalini Adelchi
|
||
| Oxford ; ; New York, : Oxford University Press, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and data mining : an introduction / / Adelchi Azzalini and Bruno Scarpa ; [text revised by Gabriel Walton]
| Data analysis and data mining : an introduction / / Adelchi Azzalini and Bruno Scarpa ; [text revised by Gabriel Walton] |
| Autore | Azzalini Adelchi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2012 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 006.3/12 |
| Altri autori (Persone) |
ScarpaBruno
WaltonGabriel |
| Soggetto topico | Data mining |
| ISBN |
0-19-994271-4
1-280-59575-2 9786613625588 0-19-990928-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Preface; Preface to the English Edition; 1. Introduction; 1.1. New problems and new opportunities; 1.2. All models are wrong; 1.3. A matter of style; 2. A-B-C; 2.1. Old friends: Linear models; 2.2. Computational aspects; 2.3. Likelihood; 2.4. Logistic regression and GLM; Exercises; 3. Optimism, Conflicts, and Trade-offs; 3.1. Matching the conceptual frame and real life; 3.2. A simple prototype problem; 3.3. If we knew f (x). . .; 3.4. But as we do not know f (x). . .; 3.5. Methods for model selection; 3.6. Reduction of dimensions and selection of most appropriate model
Exercises4. Prediction of Quantitative Variables; 4.1. Nonparametric estimation: Why?; 4.2. Local regression; 4.3. The curse of dimensionality; 4.4. Splines; 4.5. Additive models and GAM; 4.6. Projection pursuit; 4.7. Inferential aspects; 4.8. Regression trees; 4.9. Neural networks; 4.10. Case studies; Exercises; 5. Methods of Classification; 5.1. Prediction of categorical variables; 5.2. An introduction based on a marketing problem; 5.3. Extension to several categories; 5.4. Classification via linear regression; 5.5. Discriminant analysis; 5.6. Some nonparametric methods 5.7. Classification trees5.8. Some other topics; 5.9. Combination of classifiers; 5.10. Case studies; Exercises; 6. Methods of Internal Analysis; 6.1. Cluster analysis; 6.2. Associations among variables; 6.3. Case study: Web usage mining; Appendix A: Complements of Mathematics and Statistics; A.1. Concepts on linear algebra; A.2. Concepts of probability theory; A.3. Concepts of linear models; Appendix B: Data Sets; B.1. Simulated data; B.2. Car data; B.3. Brazilian bank data; B.4. Data for telephone company customers; B.5. Insurance data; B.6. Choice of fruit juice data B.7. Customer satisfactionB.8. Web usage data; Appendix C: Symbols and Acronyms; References; Author Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; V; W; Z; Subject Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W |
| Record Nr. | UNINA-9910828826403321 |
|
Azzalini Adelchi
|
||
| Oxford ; ; New York, : Oxford University Press, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||