Item-centric mining of frequent patterns from big uncertain data

Braun, Peter; Cuzzocrea, Alfredo; Leung, Carson K.; Pazdor, Adam G. M.; Souza, Joglas

doi:10.1016/j.procs.2018.08.075

Cited by 8 publications

(1 citation statement)

References 34 publications

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“…Jin et al [16] proposed an Apriori-based DM method. An improved NB (Naive Bayes) model was proposed by Braun et al [17]. Yang and colleagues enhanced the existing BPNN (BP neural network) algorithm and applied it to DM technology.…”

Section: Application and Development Of Dm In The Field Ofmentioning

confidence: 99%

Modeling of Ideological and Political Education System in Colleges and Universities Based on Naive Bayes-BP Neural Network in the Era of Big Data

Cui

2022

Mobile Information Systems

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Big data is the product of the development of the times, which affects all aspects of social development and reorganizes the ideological and political network system of universities. The development of big data brings new opportunities and challenges to the NIPE (network ideological and political education) system of universities. Therefore, universities should pay attention to the data in the ideological and political network system. The NIPEDM service platform was developed, which combines the existing Web-based PC and mobile development technology to find a new educational DM (data mining) path. Using classifiers to predict students’ future performance, a new NB_BPNN (Naive Bayes-BP neural network) model is proposed, which effectively combines the advantages of two existing models. The experimental results show that the new model has achieved good results in the field of learning evaluation.

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Section: Application and Development Of Dm In The Field Ofmentioning

confidence: 99%