Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications最新文献

筛选

英文中文

The Speed and Accuracy Evaluation of Random Forest Performance by Selecting Features in the Transformation Data 基于变换数据特征选取的随机森林性能评价的速度和准确性

Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications Pub Date : 2020-03-13 DOI: 10.1145/3386762.3386768

Maria Irmina Prasetiyowati, N. Maulidevi, K. Surendro

{"title":"The Speed and Accuracy Evaluation of Random Forest Performance by Selecting Features in the Transformation Data","authors":"Maria Irmina Prasetiyowati, N. Maulidevi, K. Surendro","doi":"10.1145/3386762.3386768","DOIUrl":"https://doi.org/10.1145/3386762.3386768","url":null,"abstract":"Random Forest is a machine learning method by building several trees in a forest, and getting the results of the classification by voting. The method of taking features to build a tree is done randomly, so there is a possibility that the feature chosen is not necessarily informative. Feature selection is needed to speed up the process. The feature selection used in this study is Correlation-based Feature Selection with the best first method. Based on the results of trials using six high-dimensional datasets, it was found that the selected features decreased by 15% to 96%. The average time needed to execute a Random Forest is less than that of a Random Forest execution on a dataset that has not been selected for features. This applies to datasets that have been transformed using Fast Fourier Transform, and returned using the Inverse Fast Fourier Transform. The average accuracy value for the dataset that has been transformed, accuracy has increased 0.03 to 0.08% compared to the dataset that has not been transformed. FFT is used to test the performace enhancement of the tranformed data of the Radom Forest.","PeriodicalId":147960,"journal":{"name":"Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115224468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Reexamination of the Porter Hypothesis-Differential Moderating Effect of Slack Resources 波特假设的再检验——闲置资源的差异调节效应

Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications Pub Date : 2020-03-13 DOI: 10.1145/3386762.3386779

Na Wang, Maoyan She, Die Hu

引用次数: 0

Functioning Mechanisms of Ectomycorrhizal Fungi and Ectomycorrhiza Associated with Plant in the Tolerance to Heavy Metal Toxicity 外生菌根真菌和与植物相关的外生菌根在重金属抗性中的作用机制

Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications Pub Date : 2020-03-13 DOI: 10.1145/3386762.3386776

Meiyuan Wang, Baoshan Yang, Hui Wang, Yidan Zhu, Xinlei Cao, Yingrui Yuan

{"title":"Functioning Mechanisms of Ectomycorrhizal Fungi and Ectomycorrhiza Associated with Plant in the Tolerance to Heavy Metal Toxicity","authors":"Meiyuan Wang, Baoshan Yang, Hui Wang, Yidan Zhu, Xinlei Cao, Yingrui Yuan","doi":"10.1145/3386762.3386776","DOIUrl":"https://doi.org/10.1145/3386762.3386776","url":null,"abstract":"Ectomycorrhizal fungus (ECMF) is one of the important plant symbiotic fungi. Their functions in enhancing the tolerance of plants to heavy metal toxicity have been widely recognized and applied. The function mechanisms of ECMF of enhancing the tolerances of plants to heavy metal toxicity have been paid much attention. However, many previous reviews have not distinguished the effects and mechanisms on the tolerance to heavy metal toxicity between ECMF and ECMF mycorrhizae symbionts. We reviewed the response mechanisms of pure cultured ectomycorrhizal fungi under heavy metal stress in vitro, the anatomical mechanisms, the physiological mechanisms, the molecular regulation mechanisms of ectomycorrhiza tolerance to heavy metal toxicity and the enhancement of plant tolerance to heavy metal. It will shed the light on the enhancement mechanism of ECMF in the plant tolerance to heavy metal. Further research directions on the application of ectomycorrhizal fungi in the remediation of contaminated sites have been indicated.","PeriodicalId":147960,"journal":{"name":"Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115542478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

首页上一页