LEADER 01184nam 2200325Ia 450 001 996383767103316 005 20221108083706.0 035 $a(CKB)1000000000587135 035 $a(EEBO)2240961383 035 $a(OCoLC)12730428 035 $a(EXLCZ)991000000000587135 100 $a19851028d1694 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA rod for the fool's-back, or, Dr. Chamberlin and his proposal vindicated$b[electronic resource] $efrom the foul aspersions of a dirty, scurrilous scribler, who pretends to answer the paper of the comparison, between the doctor's proposal and Mr. Briscoe's 210 $aLondon $cPrinted and are to be sold by John Whitlock ...$d1694 215 $a[2], 14 p 300 $aReproduction of original in the British Library. 330 $aeebo-0018 606 $aTaxation$zEngland 607 $aGreat Britain$xEconomic policy 615 0$aTaxation 700 $aChamberlen$b Hugh$01001615 801 0$bEAH 801 1$bEAH 801 2$bWaOLN 906 $aBOOK 912 $a996383767103316 996 $aA rod for the fool's-back, or, Dr. Chamberlin and his proposal vindicated$92382764 997 $aUNISA LEADER 03288nam 2200577 450 001 996466415203316 005 20231110231100.0 010 $a981-16-2418-6 035 $a(CKB)5590000000516490 035 $a(MiAaPQ)EBC6665433 035 $a(Au-PeEL)EBL6665433 035 $a(OCoLC)1259591848 035 $a(PPN)269152806 035 $a(EXLCZ)995590000000516490 100 $a20220323d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData science techniques for cryptocurrency blockchains /$fInnar Liiv 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (117 pages) 225 1 $aBehaviormetrics: Quantitative Approaches to Human Behavior ;$vv.9 311 1 $a981-16-2417-8 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Disclaimer Regarding Terminology -- Acknowledgements -- Contents -- 1 Understanding the Data Model -- 1.1 Data Model -- 1.2 Data Examples -- 1.3 Exercises and Questions for Discussion -- References -- 2 Exploration with Structured Query Language -- 2.1 Example Queries -- 2.2 Exercises and Questions for Discussion -- References -- 3 Association Rules -- 3.1 Basic Concepts -- 3.2 Association Rules in Cryptocurrency Blockchains -- 3.3 Exercises and Questions for Discussion -- References -- 4 Clustering -- 4.1 Basic Concepts -- 4.2 Similarity Measurement Example -- 4.3 K-Means Clustering and Hierarchical Clustering -- 4.4 Clustering Larger Cryptocurrency Balance Datasets -- 4.5 Exercises and Questions for Discussion -- References -- 5 Classification -- 5.1 Basic Concepts -- 5.2 Classifying Larger Cryptocurrency Balance Datasets -- 5.3 Exercises and Questions for Discussion -- References -- 6 Visualization -- 6.1 Basic Concepts -- 6.2 Color-Coding and Reordering a Data Table -- 6.3 Multidimensional Scaling -- 6.4 Parallel Coordinates -- 6.5 Pixel-Oriented Visualization -- 6.6 Exercises and Questions for Discussion -- References -- 7 Network Science -- 7.1 Basic Concepts -- 7.2 Network Data -- 7.3 Structural Properties of Networks -- 7.4 Community Detection in Networks -- 7.5 Visualization of Networks -- 7.6 Constructing Network Data for Cryptocurrency Blockchains -- 7.7 Visualizing Larger Cryptocurrency Networks -- 7.8 Exercises and Questions for Discussion -- References -- 8 Conclusions -- References -- Index. 410 0$aBehaviormetrics: Quantitative Approaches to Human Behavior 606 $aStatistics 606 $aCadena de blocs (Bases de dades)$2thub 606 $aCriptomoneda$2thub 606 $aMineria de dades$2thub 606 $aData mining 606 $aBig data 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 7$aCadena de blocs (Bases de dades) 615 7$aCriptomoneda 615 7$aMineria de dades 615 0$aData mining. 615 0$aBig data. 676 $a005.74 700 $aLiiv$b Innar$01072972 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466415203316 996 $aData Science Techniques for Cryptocurrency Blockchains$92569172 997 $aUNISA