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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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21#
發(fā)表于 2025-3-25 05:03:36 | 只看該作者
22#
發(fā)表于 2025-3-25 09:47:58 | 只看該作者
23#
發(fā)表于 2025-3-25 11:39:09 | 只看該作者
Reading Materials,This section lists some materials related to domain driven data mining, for the convenience of readers who are interested in studying this interesting, challenging and very practical area.
24#
發(fā)表于 2025-3-25 19:23:44 | 只看該作者
https://doi.org/10.1007/978-3-319-23081-8ld 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.
25#
發(fā)表于 2025-3-25 20:08:41 | 只看該作者
https://doi.org/10.1007/978-3-319-23081-8ld 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.
26#
發(fā)表于 2025-3-26 02:30:26 | 只看該作者
Brian J. Linder M.D.,Daniel S. Elliott M.D.: How to read and understand discovered patterns, which are often in thousands or more? What are the most interesting ones? Is the model accurate and what does the model tell us? How to use the rules, patterns and models? To answer the above questions and present useful knowledge to users, it is nec
27#
發(fā)表于 2025-3-26 06:11:49 | 只看該作者
28#
發(fā)表于 2025-3-26 08:29:34 | 只看該作者
Brief Book Description and Book Assumptionses such as government arrangements for debtors’ payback agreed by both parties, and debtors’ repayment information. Such data encloses important information about the experience and performance of government service objectives and social security policies, and may include evidence and indicators for
29#
發(fā)表于 2025-3-26 14:41:26 | 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.
30#
發(fā)表于 2025-3-26 20:25:13 | 只看該作者
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