000 03348nam a22005295i 4500
001 978-981-97-4772-6
003 DE-He213
005 20251030114925.0
007 cr nn 008mamaa
008 240730s2024 si | s |||| 0|eng d
020 _a9789819747726
_9978-981-97-4772-6
024 7 _a10.1007/978-981-97-4772-6
_2doi
050 4 _aHF54.5-.56
072 7 _aKJQ
_2bicssc
072 7 _aCOM039000
_2bisacsh
072 7 _aKJQ
_2thema
100 1 _aOlson, David L.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_922827
245 1 0 _aBusiness Analytics with R and Python
_h[electronic resource] /
_cby David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aX, 196 p. 85 illus., 78 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAI for Risks,
_x2731-6335
505 0 _aData Mining in Business -- Data Mining Processes -- Data Mining Software -- Association Rules -- Cluster Analysis.-Regression Algorithms in Data Mining -- Classification Tools -- Variable Selection -- Dataset Balancing.
520 _aThis book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
650 0 _aBusiness information services.
650 1 4 _aBusiness Information Systems.
_966184
700 1 _aWu, Desheng Dash.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_990291
700 1 _aLuo, Cuicui.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_990292
700 1 _aNabavi, Majid.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_990293
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819747719
776 0 8 _iPrinted edition:
_z9789819747733
776 0 8 _iPrinted edition:
_z9789819747740
830 0 _aAI for Risks,
_x2731-6335
_974803
856 4 0 _uhttps://doi.org/10.1007/978-981-97-4772-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
999 _c66424
_d66424