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Comorbidity patterns of chronic respiratory diseases in older Chinese adults: A repeated cross-sectional study from CHARLS. [PDF]
Medicine (Baltimore)Wen K +5 more
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Automatic generation of learning path for teaching informatics at university. [PDF]
MethodsXAliyeva A, Abbasov A.
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Enhancing intercultural competence in technical higher education through AI-driven frameworks. [PDF]
Sci RepZhang Q +2 more
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Proceedings of 2011 International Conference on Electronics and Optoelectronics, 2011
In this study, it proposes a new optimization algorithm called APRIORI-IMPROVE based on the insufficient of Apriori. APRIORI-IMPROVE algorithm presents optimizations on 2-items generation, transactions compression and so on. APRIORI-IMPROVE uses hash structure to generate L2, uses an efficient horizontal data representation and optimized strategy of ...
null Rui Chang, null Zhiyi Liu
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In this study, it proposes a new optimization algorithm called APRIORI-IMPROVE based on the insufficient of Apriori. APRIORI-IMPROVE algorithm presents optimizations on 2-items generation, transactions compression and so on. APRIORI-IMPROVE uses hash structure to generate L2, uses an efficient horizontal data representation and optimized strategy of ...
null Rui Chang, null Zhiyi Liu
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2010 IEEE International Conference on Granular Computing, 2010
In order to improve efficiency of excavation in relational database with multi-dimensional association rules, this paper analyzed Apriori algorithm and BUC algorithm based on practice. Then an improved Apriori algorithm-DGP algorithm which based on the multidimensional association rule was presented, it has more efficient and it will be used in the ...
Yongge Shi, Yiqun Zhou
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In order to improve efficiency of excavation in relational database with multi-dimensional association rules, this paper analyzed Apriori algorithm and BUC algorithm based on practice. Then an improved Apriori algorithm-DGP algorithm which based on the multidimensional association rule was presented, it has more efficient and it will be used in the ...
Yongge Shi, Yiqun Zhou
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A probabilistic approach to apriori algorithm
International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2010We consider the problem of applying probability concepts to discover frequent itemsets in a transaction database. The paper presents a probabilistic algorithm to discover association rules. The proposed algorithm outperforms the apriori algorithm for larger databases without losing a single rule.
Vaibhav Sharma, M.M. Sufyan Beg
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Alarm correlation using Apriori algorithm
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Communication networks usually contain thousands of components producing millions of alarms every day. To ensure sustainable high quality network services, network surveillance experts need to inspect these alarms and determine the underlying faults. High number of network alarms cause alarm pollution which may cause not only extra time spent by the ...
Mehmet Onur Sarkan +3 more
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