000			a
999			_c31366 _d31366
008			220610b xxu||||| |||| 00| 0 eng d
020			_a9789811624179
082			_a005.74 _bLII
100			_aLiiv, Innar
245			_aData science techniques for cryptocurrency blockchains
260			_bSpringer, _c2021 _aSingapore :
300			_aXII, 110 p. ; _bill., _c25 cm
365			_b119.99 _cEUR _d86.00
490			_aBehaviormetrics: Quantitative Approaches to Human Behavior Service _v v.9
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650			_aBlockchains
650			_aDatabases
650			_aCryptocurrencies
650			_aData mining
650			_aAssociation rule mining
650			_aBipatite graph
650			_aCluster analysis
650			_aDecision tree
650			_a Edge crossings
650			_a Frequentitemsets
650			_aHash identifier
650			_aGephi software
650			_a K-means clustering
650			_aNetwork analysis
650			_aOff- chain information
650			_aPixelk-oriented visualization
650			_a Scikit-learn framework
650			_aTransactionentity
942			_2ddc _cBK