Name: Data-Intensive Science (en Inglés)
Price: 635.40 PEN
Availability: InStock
Author: Critchlow, Terence ; Van Dam, Kerstin Kleese
ISBN: 9781439881392

portada Data-Intensive Science (en Inglés)

Formato

Libro Físico

Editorial

CRC Press

Autor

Critchlow, Terence ; Van Dam, Kerstin Kleese

Idioma

Inglés

N° páginas

446

Encuadernación

Tapa Dura

Dimensiones

24.9 x 17.5 x 3.3 cm

Peso

1.04 kg.

ISBN

1439881391

ISBN13

9781439881392

Categorías

Matemáticas
Equipamiento, experimentos y técnicas científicas
Data mining: minería de datos

Data-Intensive Science (en Inglés)

Critchlow, Terence ; Van Dam, Kerstin Kleese (Autor) · CRC Press · Tapa Dura

Libro Físico

S/ 635,40

S/ 1.270,80

Ahorras: S/ 635,40

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Data-Intensive Science (en Inglés)"

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world's most challenging problems.In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations.Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.