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Data Analysis and Data Mining : an Introduction.
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés Italiano |
| Publicado: |
Oxford :
Oxford University Press, USA,
2012.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Azzalini, Adelchi. | |
| 245 | 1 | 0 | |a Data Analysis and Data Mining : |b an Introduction. |
| 260 | |a Oxford : |b Oxford University Press, USA, |c 2012. | ||
| 300 | |a 1 online resource (289 pages) | ||
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| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 520 | |a An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining. This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data. Aided by a diverse rang. | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a COMPUTERS |x Database Management |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 700 | 1 | |a Scarpa, Bruno. | |
| 776 | 0 | 8 | |i Print version: |a Azzalini, Adelchi. |t Data Analysis and Data Mining : An Introduction. |d Oxford : Oxford University Press, USA, ©2012 |z 9780199767106 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=454385 |z Texto completo |
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