Name: Data Science Techniques for Cryptocurrency Blockchains (en Inglés)
Price: 686746.00 COP
Availability: InStock
Author: LIIV, Innar
ISBN: 9789811624179

portada Data Science Techniques for Cryptocurrency Blockchains (en Inglés)

Formato

Libro Físico

Autor

Innar LIIV

Editorial

Springer

Idioma

Inglés

N° páginas

111

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 0.8 cm

Peso

0.35 kg.

ISBN13

9789811624179

Categorías

Probabilidad y estadística
Software de matemáticas y estadísticas
Data mining: minería de datos

Data Science Techniques for Cryptocurrency Blockchains (en Inglés)

Innar LIIV (Autor) · Springer · Tapa Dura

Libro Físico

$ 686.746

$ 1.056.532

Ahorras: $ 369.786

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 05 de Julio y el Viernes 19 de Julio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Data Science Techniques for Cryptocurrency Blockchains (en Inglés)"

This book brings together two major trends: data science and blockchains. It is one of the first books to systematically cover the analytics aspects of blockchains, with the goal of linking traditional data mining research communities with novel data sources. Data science and big data technologies can be considered cornerstones of the data-driven digital transformation of organizations and society. The concept of blockchain is predicted to enable and spark transformation on par with that associated with the invention of the Internet. Cryptocurrencies are the first successful use case of highly distributed blockchains, like the world wide web was to the Internet. The book takes the reader through basic data exploration topics, proceeding systematically, method by method, through supervised and unsupervised learning approaches and information visualization techniques, all the way to understanding the blockchain data from the network science perspective. Chapters introduce the cryptocurrency blockchain data model and methods to explore it using structured query language, association rules, clustering, classification, visualization, and network science. Each chapter introduces basic concepts, presents examples with real cryptocurrency blockchain data and offers exercises and questions for further discussion. Such an approach intends to serve as a good starting point for undergraduate and graduate students to learn data science topics using cryptocurrency blockchain examples. It is also aimed at researchers and analysts who already possess good analytical and data skills, but who do not yet have the specific knowledge to tackle analytic questions about blockchain transactions. The readers improve their knowledge about the essential data science techniques in order to turn mere transactional information into social, economic, and business insights.