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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書目名稱Business Intelligence影響因子(影響力)




書目名稱Business Intelligence影響因子(影響力)學(xué)科排名




書目名稱Business Intelligence網(wǎng)絡(luò)公開度




書目名稱Business Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Business Intelligence被引頻次




書目名稱Business Intelligence被引頻次學(xué)科排名




書目名稱Business Intelligence年度引用




書目名稱Business Intelligence年度引用學(xué)科排名




書目名稱Business Intelligence讀者反饋




書目名稱Business Intelligence讀者反饋學(xué)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.

減震

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 ..

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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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