Titlebook: Information Management and Big Data; 10th Annual Internat Juan Antonio Lossio-Ventura,Eduardo Ceh-Varela,Hug Conference proceedings 2024 Th

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书目名称Information Management and Big Data影响因子(影响力)




书目名称Information Management and Big Data影响因子(影响力)学科排名




书目名称Information Management and Big Data网络公开度




书目名称Information Management and Big Data网络公开度学科排名




书目名称Information Management and Big Data被引频次




书目名称Information Management and Big Data被引频次学科排名




书目名称Information Management and Big Data年度引用




书目名称Information Management and Big Data年度引用学科排名




书目名称Information Management and Big Data读者反馈




书目名称Information Management and Big Data读者反馈学科排名

哪有黄油

,Multivariable-Unistep Prediction of Travel Times in Public Transport Buses Using LSTM and Convolutiistep approach. We utilized a dataset of 1.6 million records of public transportation routes, including GPS points from buses and their stops. Experimental results show that the selected model is capable of predicting travel time, considering the spatiotemporal context, with an MAE of 19.55 s. Code: ..

飞来飞去真休

monopoly

,Analysis of Mexican Women’s Decision-Making Power Using Machine Learning Strategies,lgorithms. The results suggest no statistical difference between the methods with a .=0.741 Student’s t-test value. Both algorithms obtained 99% in terms of accuracy, sensitivity, and specificity and a false-positive ratio of 0.31% and 0.33%, respectively.

dendrites

,Analyzing Sentiments and Topics on Twitter Towards Rising Cost of Living,opic modeling to uncover the most discussed topics. Our approach employed a hybrid sentiment analysis method that utilized three lexicons for preliminary tweet labeling and fine-tuned a RoBERTa model. Our results demonstrate the superior effectiveness of our methods, which provided an in-depth analysis of the cost-of-living situation in the UK.

贪心

,Novel Algorithm to Predict Electoral Trends, Case in Mexico,he algorithm accordingly. Subsequently, we applied the tool to a sample of 10,000 tweets during the 2018 presidential elections. The results obtained by the algorithm proposed in this research show similarity in trend with the results obtained by the National Electoral Institute of Mexico.

空中

shrill

Feature

,Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning,model aggregation, and model heterogeneity. Since the proposed model is distributed, it could scale on “Big Data” easily. We plan to use this proof-of-concept to implement a privacy-preserving pandemic response strategy.

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