磨损
发表于 2025-3-21 18:50:17
书目名称Business Analytics with R and Python影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0192792<br><br> <br><br>书目名称Business Analytics with R and Python读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0192792<br><br> <br><br>
柔美流畅
发表于 2025-3-21 23:32:08
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Addictive
发表于 2025-3-22 00:35:24
David L. Olson,Desheng Dash Wu,Majid NabaviProvides a comprehensive review of data mining analytics.Gives review of real management applications.Presents demonstration with publicly available datasets
GENRE
发表于 2025-3-22 05:43:14
AI for Riskshttp://image.papertrans.cn/b/image/192792.jpg
即席演说
发表于 2025-3-22 12:27:05
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剧本
发表于 2025-3-22 16:02:22
The Feminine Voice in Philosophyetail with examples of loading and opening these software systems. The graphical user interface (GUI) Rattle (part of the R system) is used throughout the book along with example R (R Studio) and Python (Anaconda and Jupyter lab) interfaces.
Rankle
发表于 2025-3-22 17:04:30
https://doi.org/10.1007/978-981-97-4772-6Descriptive Data Mining; Prescriptive Data Mining; AI and Predictive Data Mining; Data Visualization; As
indenture
发表于 2025-3-22 22:03:09
978-981-97-4774-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
growth-factor
发表于 2025-3-23 02:04:52
https://doi.org/10.1007/978-3-030-44421-1This chapter introduces the book, beginning with discussion of knowledge management. The requirements for data mining studies are reviewed. The most common business data mining applications are presented. The chapter ends with an overview of the contents of the remaining chapters.
不溶解
发表于 2025-3-23 07:38:58
The Feminine Voice in PhilosophyThe data mining process from problem identification to study implementation is presented. The major systems (KDD, CRISP-DM and SEMMA) are described. The process of evaluating model results for different types of data is described.