標題: Titlebook: Data Mining and Big Data; 5th International Co Ying Tan,Yuhui Shi,Milan Tuba Conference proceedings 2020 Springer Nature Singapore Pte Ltd. [打印本頁] 作者: 小天使 時間: 2025-3-21 16:21
書目名稱Data Mining and Big Data影響因子(影響力)
書目名稱Data Mining and Big Data影響因子(影響力)學科排名
書目名稱Data Mining and Big Data網(wǎng)絡公開度
書目名稱Data Mining and Big Data網(wǎng)絡公開度學科排名
書目名稱Data Mining and Big Data被引頻次
書目名稱Data Mining and Big Data被引頻次學科排名
書目名稱Data Mining and Big Data年度引用
書目名稱Data Mining and Big Data年度引用學科排名
書目名稱Data Mining and Big Data讀者反饋
書目名稱Data Mining and Big Data讀者反饋學科排名
作者: moratorium 時間: 2025-3-21 23:48
Relevance: Knowledge on Hand and in Handechnical specifications of an object, thus allowing to systematize sources of influence. Using statistical data archives to train, the neural network approximates key sensors data to identify the model of the controllable object and optimize it.作者: 厚顏無恥 時間: 2025-3-22 01:50
Conference proceedings 2020OVID-19 pandemic the conference was held in a fully virtual format.?.The 7 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers present the latest research on?advantages in theories, technologies, and applications in data mining作者: 事與愿違 時間: 2025-3-22 08:38
The AIDS Pandemic and Human Rightstructure, RN-list, for creating rare itemsets. To evaluate the performance of the proposed method, we conduct extensive experiments on sparse and dense datasets. The results show that the RPP algorithm is around an order of magnitude better than the RP-growth algorithm.作者: 獨裁政府 時間: 2025-3-22 10:51 作者: antiandrogen 時間: 2025-3-22 14:48 作者: antiandrogen 時間: 2025-3-22 19:36
RPP Algorithm: A Method for Discovering Interesting Rare Itemsets,tructure, RN-list, for creating rare itemsets. To evaluate the performance of the proposed method, we conduct extensive experiments on sparse and dense datasets. The results show that the RPP algorithm is around an order of magnitude better than the RP-growth algorithm.作者: 拋棄的貨物 時間: 2025-3-23 00:45
Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Reree model that affects regional economic indicators. Through the visualization of the tree and the analysis of feature importance, you can intuitively see the main indicators that affect the regional economy, thereby achieving the research goals.作者: 柔美流暢 時間: 2025-3-23 04:11
Research on PM2.5 Integrated Prediction Model Based on Lasso-RF-GAM,AM model to run more efficiently. The deviance explained by the model reaches 91.5%, which is higher than only using a subset of RF-RFE. This model also reveals the influence of various factors on PM., which provides the decision-making basis for haze control.作者: DAFT 時間: 2025-3-23 07:31
Choosing Among Projects of Actionodel training. Finally, a network model was built and experiments were performed using . and . activation functions. The experimental results verify the effectiveness of the proposed method through the distribution of histograms and the curve comparison diagrams of model training.作者: 羊齒 時間: 2025-3-23 10:10
PCA Based Kernel Initialization for Convolutional Neural Networks,odel training. Finally, a network model was built and experiments were performed using . and . activation functions. The experimental results verify the effectiveness of the proposed method through the distribution of histograms and the curve comparison diagrams of model training.作者: stratum-corneum 時間: 2025-3-23 15:19 作者: 斗爭 時間: 2025-3-23 18:12
Conference proceedings 2020 and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..作者: Malfunction 時間: 2025-3-24 01:08 作者: Protein 時間: 2025-3-24 03:12
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262915.jpg作者: 蛤肉 時間: 2025-3-24 08:03
https://doi.org/10.1007/978-981-15-7205-0artificial intelligence; association rules; communication channels (information theory); communication 作者: Rinne-Test 時間: 2025-3-24 13:33
978-981-15-7204-3Springer Nature Singapore Pte Ltd. 2020作者: 沉默 時間: 2025-3-24 17:13
https://doi.org/10.1007/978-3-030-18991-4 the original tasks, by leveraging the knowledge among tasks. The knowledge transfer mainly depends on task relationships. Most of existing multi-task learning methods guide learning processes based on predefined task relationships. However, the associated relationships have not been fully exploited作者: 過份好問 時間: 2025-3-24 22:09
The AIDS Pandemic and Human Rightsork failures, or suspicious behavior. There are significant efforts proposed to extract rare itemsets. The RP-growth algorithm outperforms previous methods proposed for generating rare itemsets. However, the performance of the RP-growth degrades on sparse datasets, and it is costly in terms of time 作者: contrast-medium 時間: 2025-3-25 00:29
Relevance: Knowledge on Hand and in Handecomposed and viewed as a hierarchy of embedded orgraphs. Performance indicators and controlling factors lists are created based on the orgraphs and technical specifications of an object, thus allowing to systematize sources of influence. Using statistical data archives to train, the neural network 作者: 人造 時間: 2025-3-25 05:37 作者: 確定的事 時間: 2025-3-25 09:16
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作者: Forsake 時間: 2025-3-25 13:13
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作者: guardianship 時間: 2025-3-25 17:40 作者: Implicit 時間: 2025-3-25 20:16
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作者: Sleep-Paralysis 時間: 2025-3-26 01:10 作者: 案發(fā)地點 時間: 2025-3-26 04:45
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作者: floaters 時間: 2025-3-26 12:12 作者: RUPT 時間: 2025-3-26 15:41 作者: 壁畫 時間: 2025-3-26 17:15 作者: 鉗子 時間: 2025-3-27 00:58
Pareto Optimization in Oil Refinery,ecomposed and viewed as a hierarchy of embedded orgraphs. Performance indicators and controlling factors lists are created based on the orgraphs and technical specifications of an object, thus allowing to systematize sources of influence. Using statistical data archives to train, the neural network 作者: 語言學 時間: 2025-3-27 04:16
Hypothesis Verification for Designing Flyback Booster by Analysis of Variance Visualized on Trianguvolutionary computation. We prepared two datasets of nondominated solutions due to two problem definitions, which differ merely in the definition of some design variables based on a design hypothesis gained from evolutionary-computation results. This study aims at verifying the hypothesis by applyin作者: blithe 時間: 2025-3-27 09:08
Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Reto 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作者: Diastole 時間: 2025-3-27 09:30
An Evaluation Algorithm of the Importance of Network Node Based on Community Influence,ation 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作者: 花束 時間: 2025-3-27 15:20
PCA Based Kernel Initialization for Convolutional Neural Networks,ected layers. In this paper, we proposed a convolution kernel initialization method based on the two-dimensional principal component analysis (2DPCA), in which a parametric equalization normalization method is used to adjust the scale between each neuron weight. After that the weight initial value c作者: 沖擊力 時間: 2025-3-27 21:33 作者: 灰心喪氣 時間: 2025-3-27 23:42 作者: 符合你規(guī)定 時間: 2025-3-28 05:02
Analysis of Breast Cancer Detection Using Different Machine Learning Techniques,accuracy 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作者: 南極 時間: 2025-3-28 07:35 作者: Synovial-Fluid 時間: 2025-3-28 11:54
Hypothesis Verification for Designing Flyback Booster by Analysis of Variance Visualized on Trianguiscontinuous surface naturally evaded in the hypersonic range because of surface temperature upsurge is capable of enhancing the lift-to-drag ratio in the low-speed range; the hypothesis grew into a new design problem.作者: 歡呼 時間: 2025-3-28 18:09 作者: 連詞 時間: 2025-3-28 20:00 作者: 關節(jié)炎 時間: 2025-3-29 02:06
Analysis of Breast Cancer Detection Using Different Machine Learning Techniques,med. The efficiency of each classifier is assessed in terms of true positive, false positive, Roc curve, standard deviation (Std), and accuracy (AC). Experiments show that using a resample filter enhances the classifier’s performance where SMO outperforms others in the WBC dataset and J48 is superio作者: 主動脈 時間: 2025-3-29 03:45
https://doi.org/10.1007/978-3-030-18991-4roposed method, experiments on various datasets are conducted. The experimental results demonstrate that the proposed method outperforms both classical and state-of-the-art multi-task learning baselines.作者: Flatter 時間: 2025-3-29 08:42
Outline of a Theory of Relevanceiscontinuous surface naturally evaded in the hypersonic range because of surface temperature upsurge is capable of enhancing the lift-to-drag ratio in the low-speed range; the hypothesis grew into a new design problem.作者: 石墨 時間: 2025-3-29 14:58
Choosing Among Projects of Action, the network is divided into communities based on LPA algorithm. Finally, the importance of the node is calculated by combining the influence of the community itself and the influence of the node on the community. Experiments are carried out on real social network data and compared with other commu作者: 掃興 時間: 2025-3-29 15:47
https://doi.org/10.1007/978-94-010-1340-6d to divide TSI as a traffic congestion evaluation index and divide the road congestion into four levels. In this way, we can get the congestion of the road in each time period of the day and the time required to pass. Then we use the random forest, adaboost, GBDT, Lasso CV and BP neural networks in
