hierarchy
发表于 2025-3-21 19:38:57
书目名称Data Mining in Finance影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0262964<br><br> <br><br>书目名称Data Mining in Finance读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0262964<br><br> <br><br>
躺下残杀
发表于 2025-3-21 23:33:37
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小溪
发表于 2025-3-22 00:59:38
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价值在贬值
发表于 2025-3-22 05:15:09
Financial Applications of Relational Data Mining, of these regularities had shown about 75 % of correct forecasts on test data (1995–1996). The target variable was predicted using separately SP500 (close) and the target variable’s own history. Comparison of performance with other methods is presented in the next chapter.
破裂
发表于 2025-3-22 12:29:04
The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/d/image/262964.jpg
CAMP
发表于 2025-3-22 15:34:35
https://doi.org/10.1007/b116453Finance; Symbol; algorithms; artificial intelligence; data mining; fuzzy; intelligence; knowledge; knowledge
CAMP
发表于 2025-3-22 17:32:33
978-1-4757-7332-3Springer Science+Business Media New York 2000
Antarctic
发表于 2025-3-22 21:48:45
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乳汁
发表于 2025-3-23 04:08:03
Complications of Endodontic Surgery theoretical viewpoint Computational experiments presented in this chapter have shown these advantages practically for real financial data..Relational data mining methods and MMDR method, in particular, are able to discover useful regularities in financial time series for stock market prediction. In
细菌等
发表于 2025-3-23 08:45:01
Book 2000l inefficiency and haverather limited tools for processing numerical data. ..Data Mining in Finance. introduces a new approach, combiningrelational data mining with the analysis of statistical significanceof discovered rules. This reduces the search space and speeds up thealgorithms. The book also p