Titlebook: Data Mining and Big Data; 5th International Co Ying Tan,Yuhui Shi,Milan Tuba Conference proceedings 2020 Springer Nature Singapore Pte Ltd.

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Some Leading Concepts of Phenomenologyto find the main factors affecting the regional economy with the support of big data and empirical evidence. First extract some important indicators that affect the regional economy, and use the entropy method to find the relative weights and scores of these indicators. Then use K-means to divide th

Forsake

Choosing Among Projects of Actionation dissemination. There are few methods to study the influence of communities on social networks among the existing node importance evaluation algorithms, and it is difficult to find nodes that promote information dissemination among communities. In view of this reason, this paper proposes a node

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Implicit

Santayana on Society and Governmentest-recursive feature elimination algorithm and lasso regression for joint feature selection, puts forward a PM. concentration prediction model based on GAM. Firstly, the original data is standardized in the data input layer. Secondly, features were selected with RF-RFE and lasso regression algorith

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https://doi.org/10.1007/978-94-007-1518-9accuracy and enhances the performance of three different classifiers: Decision Tree (J48), Na?ve Bayes (NB), and Sequential Minimal Optimization (SMO). We also validate and compare the classifiers on two benchmark datasets: Wisconsin Breast Cancer (WBC) and Breast Cancer dataset. Data with imbalance

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