Data mining : concepts and techniques / Jiawei Han, Micheline Kamber
Tipo de material:
TextoDetalles de publicación: San Francisco : Morgan Kaufmann, 2006 Edición: 2nd ed.Descripción: XXVIII, 770 p. : il., gráf. ; 25 cmISBN: 1-55860-901-6Tema(s): Bases de datos -- Gestión | Minería de datosResumen: Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Resumen: Índice: 1 Introduction. 1.1 What Motivated Data Mining? Why Is It Important?. 1.2 So, What Is Data Mining?. 1.3 Data Mining--On What Kind of Data?. 1.4 Data Mining Functionalities-What Kinds of Patterns Can Be Mined?. 1.5 Are All of the Patterns Interesting?. 1.6 Classification of Data Mining Systems. 1.7 Data Mining Task Primitives. 1.8 Integration of a Data Mining System with a Database or Data Warehouse System. 1.9 Major Issues in Data Mining. 1.10 Summary. 1.11 Exercises. 1.12 Bibliographic Notes. 2 Data Preprocessing. 2.1 Why Preprocess the Data?. 2.2 Descriptive Data Summarization. 2.3 Data Cleaning. 2.4 Dat... Etc.
| Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
|---|---|---|---|---|---|---|---|
| Manuales | 03. BIBLIOTECA INGENIERÍA PUERTO REAL | 681.3.07/HAN/dat (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3741364343 |
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Bibliografía: p. 703-743
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.
Índice: 1 Introduction. 1.1 What Motivated Data Mining? Why Is It Important?. 1.2 So, What Is Data Mining?. 1.3 Data Mining--On What Kind of Data?. 1.4 Data Mining Functionalities-What Kinds of Patterns Can Be Mined?. 1.5 Are All of the Patterns Interesting?. 1.6 Classification of Data Mining Systems. 1.7 Data Mining Task Primitives. 1.8 Integration of a Data Mining System with a Database or Data Warehouse System. 1.9 Major Issues in Data Mining. 1.10 Summary. 1.11 Exercises. 1.12 Bibliographic Notes. 2 Data Preprocessing. 2.1 Why Preprocess the Data?. 2.2 Descriptive Data Summarization. 2.3 Data Cleaning. 2.4 Dat... Etc.
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