東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Data science techniques for cryptocu...

Liiv, Innar.

Linked to FindBook

Google Book

Amazon

博客來

Data science techniques for cryptocurrency blockchains

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science techniques for cryptocurrency blockchains/ by Innar Liiv.
Author:	Liiv, Innar.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xii, 111 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Understanding the Data Model -- Exploration with Structured Query Language -- Association Rules -- Clustering -- Classification -- Visualization -- Network Science -- Conclusions.
Contained By:	Springer Nature eBook
Subject:	Blockchains (Databases) -
Online resource:	https://doi.org/10.1007/978-981-16-2418-6
ISBN:	9789811624186

Data science techniques for cryptocurrency blockchains
Liiv, Innar.

Data science techniques for cryptocurrency blockchains[electronic resource] /by Innar Liiv. - Singapore :Springer Singapore :2021. - xii, 111 p. :ill. (some col.), digital ;24 cm. - Behaviormetrics: quantitative approaches to human behavior,v.92524-4027 ;. - Behaviormetrics: quantitative approaches to human behavior ;v.9..

Understanding the Data Model -- Exploration with Structured Query Language -- Association Rules -- Clustering -- Classification -- Visualization -- Network Science -- Conclusions.

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.

ISBN: 9789811624186

Standard No.: 10.1007/978-981-16-2418-6doiSubjects--Topical Terms:

3222206
Blockchains (Databases)

LC Class. No.: QA76.9.B56 / L55 2021

Dewey Class. No.: 005.74

Data science techniques for cryptocurrency blockchains
LDR:03147nmm a2200337 a 4500 001 2244855
003 DE-He213
005 20210626210546.0
006 m d
007 cr nn 008maaau
008 211207s2021 si s 0 eng d
020 $a 9789811624186 $q (electronic bk.)
020 $a 9789811624179 $q (paper)
024 7 $a 10.1007/978-981-16-2418-6 $2 doi
035 $a 978-981-16-2418-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B56 $b L55 2021
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.B56 $b L727 2021
100 1 $a Liiv, Innar. $3 3506146
245 1 0 $a Data science techniques for cryptocurrency blockchains $h [electronic resource] / $c by Innar Liiv.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 111 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Behaviormetrics: quantitative approaches to human behavior, $x 2524-4027 ; $v v.9
505 0 $a Understanding the Data Model -- Exploration with Structured Query Language -- Association Rules -- Clustering -- Classification -- Visualization -- Network Science -- Conclusions.
520 $a 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.
650 0 $a Blockchains (Databases) $3 3222206
650 0 $a Cryptocurrencies. $3 3450848
650 0 $a Data mining. $3 562972
650 1 4 $a Applied Statistics. $3 3300946
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Big Data. $3 3134868
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Behaviormetrics: quantitative approaches to human behavior ; $v v.9. $3 3506147
856 4 0 $u https://doi.org/10.1007/978-981-16-2418-6
950 $a Mathematics and Statistics (SpringerNature-11649)