恐怖
发表于 2025-3-21 17:09:58
书目名称Domain Driven Data Mining影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0282505<br><br> <br><br>书目名称Domain Driven Data Mining读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0282505<br><br> <br><br>
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发表于 2025-3-21 20:51:26
Book 2010on KDD research and applications. .Bridges the gap between business expectations and research output through detailed exploration of the findings, thoughts and lessons learned in conducting several large-scale, real-world data mining business applications.Includes techniques, methodologies and case
飞来飞去真休
发表于 2025-3-22 03:41:32
Longbing Cao,Philip S. Yu,Yanchang ZhaoBridges the gap between business expectations and research output.Includes techniques, methodologies and case studies in real-life enterprise dm.Addresses new areas such as blog mining.Includes supple
热情赞扬
发表于 2025-3-22 06:39:57
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使成整体
发表于 2025-3-22 11:30:03
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Tdd526
发表于 2025-3-22 15:33:10
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Tdd526
发表于 2025-3-22 19:19:39
Challenges and Trends,ld data mining, distinguish data-centered data mining from domain driven data mining, and propose the trends from data-centered hidden pattern discovery to domain driven actionable knowledge delivery(AKD) as a new KDD paradigm shift.
羽毛长成
发表于 2025-3-22 23:12:12
Dorothea Baur,Florian WettsteinOn the basis of the discussions and retrospection on existing data mining methodologies and techniques in Chapter 1, this chapter presents an overall picture of domain driven data mining (...). We focus on the high level of architecture and concepts of the ... methodology.
必死
发表于 2025-3-23 02:24:59
https://doi.org/10.1007/978-3-319-23081-8In Chapters 1 and 2, we have stated the importance of involving and consolidating relevant ubiquitous intelligence surrounding data mining applications for actionable knowledge discovery and delivery.
广大
发表于 2025-3-23 06:11:24
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