Name: Data Mining With Rattle and r: The art of Excavating Data for Knowledge Discovery (Use r! ) (en Inglés)
Price: 89.05 EUR
Availability: InStock
Author: Williams, Graham
ISBN: 9781441998897

portada Data Mining With Rattle and r: The art of Excavating Data for Knowledge Discovery (Use r! ) (en Inglés)

Formato

Libro Físico

Autor

Graham Williams

Editorial

Springer

Tema

database management - database mining; programming - algorithms; mathematical & statistical software

Año

2011

Idioma

Inglés

N° páginas

396

Encuadernación

Tapa Blanda

Dimensiones

23.1 x 15.5 x 2.3 cm

Peso

0.54 kg.

ISBN

1441998896

ISBN13

9781441998897

N° edición

2011

Categorías

Software de matemáticas y estadísticas
Algoritmos y estructuras de datos
Data mining: minería de datos

Data Mining With Rattle and r: The art of Excavating Data for Knowledge Discovery (Use r! ) (en Inglés)

Graham Williams (Autor) · Springer · Tapa Blanda

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Reseña del libro "Data Mining With Rattle and r: The art of Excavating Data for Knowledge Discovery (Use r! ) (en Inglés)"

Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path to becoming a data mining professional. This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built. This is the first step in a journey to data mining and analytics. The book encourages the concept of programming by example and programming with data - more than just pushing data through tools, but learning to live and breathe the data, and sharing the experience so others can copy and build on what has gone before. It is accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics. Details of some of the more popular algorithms for data mining are very simply and, more importantly, clearly explained. Technology for transforming a database through data mining and machine learning into knowledge is now readily accessible.