Comparison of Heuristics for Optimization of Association Rules

Alsolami, Fawaz; Amin, Talha; Moshkov, Mikhail; Zielosko, Beata; Żabiński, Krzysztof

doi:10.3233/fi-2019-1791

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…Normally, pathology cases are seriously scarce in clinical practice. While the traditional Apriori algorithms [ 21 , 22 ] in ARA can not achieve the infrequent association rules and the improved method based on increasing the weight of minority would produce biased results as well [ 6 , 23 ]. Therefore we designed an algorithm of forward-stepwise-selection association rule to maximize the accuracy of association rules.…”

Section: Methodsmentioning

confidence: 99%

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records

Huang

Jiang

Cai

et al. 2021

BMC Med Inform Decis Mak

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Background Cardiotocography (CTG) interpretation plays a critical role in prenatal fetal monitoring. However, the interpretation of fetal status assessment using CTG is mainly confined to clinical research. To the best of our knowledge, there is no study on data analysis of CTG records to explore the causal relationships between the important CTG features and fetal status evaluation. Methods For analyses, 2126 cardiotocograms were automatically processed and the respective diagnostic features measured by the Sisporto program. In this paper, we aim to explore the causal relationships between the important CTG features and fetal status evaluation. First, we utilized data visualization and Spearman correlation analysis to explore the relationship among CTG features and their importance on fetal status assessment. Second, we proposed a forward-stepwise-selection association rule analysis (ARA) to supplement the fetal status assessment rules based on sparse pathological cases. Third, we established structural equation models (SEMs) to investigate the latent causal factors and their causal coefficients to fetal status assessment. Results Data visualization and the Spearman correlation analysis found that thirteen CTG features were relevant to the fetal state evaluation. The forward-stepwise-selection ARA further validated and complemented the CTG interpretation rules in the fetal monitoring guidelines. The measurement models validated the five latent variables, which were baseline category (BCat), variability category (VCat), acceleration category (ACat), deceleration category (DCat) and uterine contraction category (UCat) based on fetal monitoring knowledge and the above analyses. Furthermore, the interpretable models discovered the cause factors of fetal status assessment and their causal coefficients to fetal status assessment. For instance, VCat could predict BCat, and UCat could predict DCat as well. ACat, BCat and DCat directly affected fetal status assessment, where ACat was the important causal factor. Conclusions The analyses revealed the interpretation rules and discovered the causal factors and their causal coefficients for fetal status assessment. Moreover, the results are consistent with the computerized fetal monitoring and clinical knowledge. Our approaches are conducive to evidence-based medical research and realizing intelligent fetal monitoring.

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Section: Methodsmentioning

confidence: 99%

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records

Huang

Jiang

Cai

et al. 2021

BMC Med Inform Decis Mak

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“…e knowledge point set composed of knowledge points Q 1 and Q 2 is obtained by formula (8), and the similarity between them is calculated by formula (8):…”

Section: Association Between Learning Resources and Knowledge Pointsmentioning

confidence: 99%

“…This paper is mainly based on the theory of association rules. Association rules can not only reflect whether there is association between resources, but also describe the degree of association between resources [ 1 , 8 ]. Understand the relationship between different educational resources, clarify the attributes of various types of resources, and then mine the resources to collect online educational resources.…”

Section: Personalized Recommendation Algorithm For Online Education R...mentioning

confidence: 99%

Study on Personalized Recommendation Algorithm of Online Educational Resources Based on Knowledge Association

Jiang

2022

Computational Intelligence and Neuroscience

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In order to overcome the problems of low accuracy, low recommendation efficiency, and low user satisfaction of educational resources recommendation algorithm, this paper proposes a personalized recommendation algorithm for online educational resources based on knowledge association. Firstly, online education resources are collected according to association rules. Secondly, firefly algorithm is used to classify online education resources. Then, the vector space function is constructed to filter the classified online education resources. Finally, the correlation between knowledge points is calculated by knowledge association theory, and the knowledge with the highest user interest is selected as the target recommendation resource to realize the personalized recommendation of online education resources. The resource recommendation accuracy of this method can reach 97%, the recommendation time is less than 5.0 s, and users are more satisfied with it, indicating that its recommendation effect is good.

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“…is very difficult and complicated. Different methods can be used to solve it, mainly heuristic methods [27,28]. We have used the imbuilt into AnyLogic® the OptQuest optimizer, which is a combination of heuristics, neural networks and mathematical optimization.…”

Section: Advances In Economics Business and Management Research Volmentioning

confidence: 99%

International Transport Corridors: Impact on Territorial Development

Makarova¹,

Shubenkova²,

Buyvol³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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The fact that Russian Federation is situated between Western Europe and the rapidly developing countries of Southeast Asia determines the relevance of the international transport corridors development in order to create an international connection between the mentioned countries. The transit potential of Russia should be considered not only as a part of the business contributing to the growth of the Gross Domestic Product, but also as an incentive to develop various branches of industry, which results in a need for highly qualified professionals. Under the modern circular economy conditions, green logistics and a digitalization development, these processes are accompanied by increased requirements for the quality of transport services. It is required to apply new principles in the creation of international transport corridors and their managerial systems. The article discusses the impact of intermodal transportation between Europe and Asia on territorial development, as well as the main trends in implementation of such projects as Marine arterial roads, One Belt One Way and others. The intensive use of modernized powerful transport corridors can be a stimulus for the development of the territories through which they pass. Authors consider positive impact of international transport corridors on supply chains development. Simulation models have been built to examine possibilities to increase efficiency of logistic systems by means of modern technological and technical solutions.

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Comparison of Heuristics for Optimization of Association Rules

Cited by 15 publications

References 22 publications

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records

Study on Personalized Recommendation Algorithm of Online Educational Resources Based on Knowledge Association

International Transport Corridors: Impact on Territorial Development

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