LEADER 03639nam  22005775  450 
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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