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Titlebook: Domain Driven Data Mining; Longbing Cao,Philip S. Yu,Yanchang Zhao Book 2010 Springer-Verlag US 2010 data analysis.data mining.decision su

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發(fā)表于 2025-3-21 17:09:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Domain Driven Data Mining
編輯Longbing Cao,Philip S. Yu,Yanchang Zhao
視頻videohttp://file.papertrans.cn/283/282505/282505.mp4
概述Bridges 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
圖書封面Titlebook: Domain Driven Data Mining;  Longbing Cao,Philip S. Yu,Yanchang Zhao Book 2010 Springer-Verlag US 2010 data analysis.data mining.decision su
描述.In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. .Domain Driven Data Mining. offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. .About this book:.Enhances the actionability and wider deployment of existing data-centered data mining through a combination of domain and business oriented factors, constraints and intelligence..Examines real-world challenges to and complexities of the current KDD methodologies and techniques..Details a paradigm shift from "data-centered pattern mining" to "domain driven actionable knowledge discovery" for next-generation 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
出版日期Book 2010
關(guān)鍵詞data analysis; data mining; decision support system; information processing; knowledge discovery; knowled
版次1
doihttps://doi.org/10.1007/978-1-4419-5737-5
isbn_softcover978-1-4899-8507-1
isbn_ebook978-1-4419-5737-5
copyrightSpringer-Verlag US 2010
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沙發(fā)
發(fā)表于 2025-3-21 20:51:26 | 只看該作者
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
板凳
發(fā)表于 2025-3-22 03:41:32 | 只看該作者
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
地板
發(fā)表于 2025-3-22 06:39:57 | 只看該作者
http://image.papertrans.cn/e/image/282505.jpg
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發(fā)表于 2025-3-22 11:30:03 | 只看該作者
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發(fā)表于 2025-3-22 19:19:39 | 只看該作者
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.
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發(fā)表于 2025-3-22 23:12:12 | 只看該作者
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.
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發(fā)表于 2025-3-23 02:24:59 | 只看該作者
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.
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發(fā)表于 2025-3-23 06:11:24 | 只看該作者
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