Titlebook: Business Intelligence; 8th International Co Rachid El Ayachi,Mohamed Fakir,Mohamed Baslam Conference proceedings 2023 The Editor(s) (if app

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书目名称Business Intelligence影响因子(影响力)




书目名称Business Intelligence影响因子(影响力)学科排名




书目名称Business Intelligence网络公开度




书目名称Business Intelligence网络公开度学科排名




书目名称Business Intelligence被引频次




书目名称Business Intelligence被引频次学科排名




书目名称Business Intelligence年度引用




书目名称Business Intelligence年度引用学科排名




书目名称Business Intelligence读者反馈




书目名称Business Intelligence读者反馈学科排名

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Melanoma

Media Corporate Entrepreneurshipwould need to decode prior blocks before reaching their desired data and rewriting the chain ahead while manipulating the rest of the nodes in a similar approach. As tampering with the data is both technologically difficult and commercially unfeasible, the security of a blockchain becomes two-fold.

CERE

NYT Internet Business Venturingn explaining the effect of variables and the nature of their relationship with low performing students. The results revealed that these models produce useful insights and highlight the existing relationship among students with low performances in reading and other student characters.

减震

Ontology-Based Mediation with Quality Criteriaic validation of initial mappings generates accuracy, and provides the means to access and exchange information in semantically sound manner. In addition, data integration in this way becomes more practical for dynamic situations and helps decision makers to work within a more consistent and reliable ..

无能性

分发

Causal Discovery and Features Importance Analysis: What Can Be Inferred About At-Risk Students?n explaining the effect of variables and the nature of their relationship with low performing students. The results revealed that these models produce useful insights and highlight the existing relationship among students with low performances in reading and other student characters.

Tdd526

NYT Internet Business Venturing. Four different machine learning algorithms were used and evaluated in this study for generating an accurate price prediction model. In this machine learning based systematic analysis, several experimental studies are conducted for evaluating models more precisely. Performance matrices were also used to evaluate machine learning algorithms.

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