Agoraphobia
发表于 2025-3-21 20:02:39
书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0262930<br><br> <br><br>书目名称Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0262930<br><br> <br><br>
Encumber
发表于 2025-3-22 00:19:03
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色情
发表于 2025-3-22 02:19:25
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debble
发表于 2025-3-22 08:32:44
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使乳化
发表于 2025-3-22 09:24:14
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figment
发表于 2025-3-22 14:01:47
Yujiro Nishioka,Junichi Shindohecision tree induction (SODI) algorithm, which uses conjunctive and disjunctive combinations of two attributes for improved decision tree induction in nominal databases. We show via numerical examples that in many cases this generates more accurate classification models and easier to interpret decision trees and rules.
figment
发表于 2025-3-22 17:34:14
Run-Time Data Structures in GPenSIMer is interested. We apply fuzzy rules to adapt user queries by fuzzy inference within a sound and complete fuzzy logic system. We show some empirical results indicating that using our unified framework, the induction and application of fuzzy rules produces a more effective textual information retrieval system.
CAJ
发表于 2025-3-22 23:46:54
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灯丝
发表于 2025-3-23 02:46:30
Rule Induction Through Discrete Support Vector Decision Trees,ilt by means of a multivariate split derived at each node from the approximate solution of the discrete SVM. Computational tests on well-known benchmark datasets indicate that our classifier achieves a superior trade-off between accuracy and complexity of the induced rules, outperforming other competing approaches.
讨厌
发表于 2025-3-23 07:32:47
Multi-Attribute Decision Trees and Decision Rules,ecision tree induction (SODI) algorithm, which uses conjunctive and disjunctive combinations of two attributes for improved decision tree induction in nominal databases. We show via numerical examples that in many cases this generates more accurate classification models and easier to interpret decision trees and rules.