LEADER 01121nam2-2200361li-450- 001 990000180030203316 010 $a981-02-0213-X 035 $a0018003 035 $aUSA010018003 035 $a(ALEPH)000018003USA01 035 $a0018003 100 $a20001109d1990----km-y0itay0103----ba 101 0 $aeng 102 $aSG 200 1 $aQuantum electodynamics$feditor T. Kinoshita 210 $aSingapore [etc.]$cWorld Scientific$dcopyr. 1990 215 $aXVIII, 997 p.$cill.$d23 cm. 225 2 $aAdvanced series on directions in high energy physics$v7 315 $aaltro genere 410 0$10010018001$12001$aAdvanced series on directions in high energy physics 610 1 $aelettrodinamica quantistica 676 $a53767$9. 702 1$aKinoshita,$bToichiro 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000180030203316 951 $a537.67 QUA$b0013741 959 $aBK 969 $aSCI 979 $c19920330 979 $c20001110$lUSA01$h1713 979 $c20020403$lUSA01$h1625 979 $aPATRY$b90$c20040406$lUSA01$h1613 997 $aUNISA LEADER 01624nam 2200397 a 450 001 9910699598603321 005 20230902161806.0 035 $a(CKB)5470000002402935 035 $a(OCoLC)650885422 035 $a(EXLCZ)995470000002402935 100 $a20100729d2010 ua 0 101 0 $aeng 135 $aurbn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGovernment Efficiency, Effectiveness, and Performance Improvement Act of 2010$b[electronic resource] $ereport together with minority views (to accompany H.R. 2142) (including cost estimate of the Congressional Budget Office) 210 1$a[Washington, D.C.] :$c[U.S. G.P.O.],$d[2010] 215 $a1 online resource (33 pages) 225 1 $aReport / 111th Congress, 2d session, House of Representatives ;$v111-504 300 $aTitle from title screen (viewed on July 29, 2010). 300 $a"June 14, 2010." 320 $aIncludes bibliographical references. 517 $aGovernment Efficiency, Effectiveness, and Performance Improvement Act of 2010 606 $aAdministrative agencies$zUnited States$xManagement 606 $aExecutive departments$zUnited States$xManagement 606 $aGovernment productivity$zUnited States 615 0$aAdministrative agencies$xManagement. 615 0$aExecutive departments$xManagement. 615 0$aGovernment productivity 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910699598603321 996 $aGovernment Efficiency, Effectiveness, and Performance Improvement Act of 2010$93509612 997 $aUNINA LEADER 03639nam 22005775 450 001 9910155525703321 005 20200705052241.0 010 $a981-10-3340-4 024 7 $a10.1007/978-981-10-3340-7 035 $a(CKB)4340000000027203 035 $a(DE-He213)978-981-10-3340-7 035 $a(MiAaPQ)EBC4768843 035 $a(PPN)222231785 035 $a(EXLCZ)994340000000027203 100 $a20161210d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDescriptive Data Mining /$fby David L. Olson 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XI, 116 p. 63 illus., 60 illus. in color.) 225 1 $aComputational Risk Management,$x2191-1436 311 $a981-10-3339-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aChapter 1 Knowledge Management -- Chapter 2: Data Visualization -- Chapter 3 Market Basket Analysis -- Chapter 4 Recency Frequency and Monetary Model -- Chapter 5 Association Rules -- Chapter 6 Cluster Analysis -- Chapter 7 Link Analysis -- Chapter 7 Link Analysis -- Chapter 8 Descriptive Data Mining -- References -- Index. 330 $aThis book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Both R and Rattle are free to students. Chapter 3 then describes market basket analysis, comparing it with more advanced models, and addresses the concept of lift. Subsequently, Chapter 4 describes smarketing RFM models and compares it with more advanced predictive models. Next, Chapter 5 describes association rules, including the APriori algorithm and provides software support from R. Chapter 6 covers cluster analysis, including software support from R (Rattle), KNIME, and WEKA, all of which are open source. Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output. Chapter 8 concludes the monograph. Using business-related data to demonstrate models, this descriptive book explains how methods work with some citations, but without detailed references. The data sets and software selected are widely available and can easily be accessed. 410 0$aComputational Risk Management,$x2191-1436 606 $aBig data 606 $aData mining 606 $aRisk management 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aRisk Management$3https://scigraph.springernature.com/ontologies/product-market-codes/612040 615 0$aBig data. 615 0$aData mining. 615 0$aRisk management. 615 14$aBig Data/Analytics. 615 24$aData Mining and Knowledge Discovery. 615 24$aRisk Management. 676 $a006.312 700 $aOlson$b David L$4aut$4http://id.loc.gov/vocabulary/relators/aut$0164565 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155525703321 996 $aDescriptive Data Mining$92127141 997 $aUNINA