Data/hora: 09/06/2024 18:54:34

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 19/08/2011
Data da última atualização: | 14/09/2011
Autoria: | MYATT, G. J.
Afiliação: | GLENN J. MYATT.
Título: | Making sense of data: a practical guide to exploratory data analysis and data mining.
Ano de publicação: | 2007
Fonte/Imprenta: | Hoboken: Wiley-Interscience, 2007.
Páginas: | 280 p. il.
ISBN: | 978-0-470-07471-8
Idioma: | Inglês
Conteúdo: | Overview. Problem definition. Data preparation. Implementation of the analysis. Deployment of the results. Book outline. Definition. Overview. Objectives. Deliverables. Roles and responsibilities. Project plan. Case study. Preparation. Overview. Data sources. Data understanding. Data preparation. Tables and graphs. Tables. Graphs. Statistics. Overview. Descriptive statistics. Inferential statistics. Comparative statistics. Grouping. Overview. Clustering. Associative rules. Decision trees. Prediction. Introduction. Simple regression models. K-nearest neighbors. Classification and regression trees. Neural networks. Other methods. Deployment. Overview. Deliverables. Activities. Deployment scenarios. Conclusions. Summary of process. Example. Advanced data mining. Statistical tables. Normal distribution. Student?s t-distribution. Chi-square distribution. F-distribution. Answers to exercises. Glossary. Bibliography. Index.
Palavras-Chave: | Data mining; Estatística matemática; Mineração de dados; Recuperação da informação; Visualização de dados.
Thesaurus Nal: | Information retrieval; Statistics.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (15930-1) - ADC - LV - PP - 006.33 - MYA - 2011.00225 - DIS