標(biāo)題: Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author( [打印本頁] 作者: Consonant 時(shí)間: 2025-3-21 19:49
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(xué)科排名
書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度
書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名
作者: ADOPT 時(shí)間: 2025-3-22 00:09 作者: Infinitesimal 時(shí)間: 2025-3-22 02:50 作者: 使習(xí)慣于 時(shí)間: 2025-3-22 05:45
HOS-YOLOv5: An Improved High-Precision Remote Sensing Image Target Detection Algorithm Based on YOLOon, and different scales of remote sensing images, when they are directly applied to remote sensing images, the detection accuracy of their targets is too low. To this end, we propose HOS-YOLOv5, an improved high-precision remote sensing image target detection algorithm based on YOLOV5, construct th作者: Audiometry 時(shí)間: 2025-3-22 12:30 作者: 愚笨 時(shí)間: 2025-3-22 14:23
A Better Linear Model Than Regression-Line for?Data-Mining Applicationsin then the regression-line does not rotate by the same angle . except for the special case when all .’s are collinear. This makes the regression-line unsuitable as a linear model of a set of data points for applications in data mining and machine learning. We present an alternative linear model tha作者: 愚笨 時(shí)間: 2025-3-22 18:42 作者: Conspiracy 時(shí)間: 2025-3-22 21:54
Research Hotspots, Emerging Trend and Front of Fraud Detection Research: A Scientometric Analysis (1erging trends in this field. Besides scientific outputs evaluation using statistical analysis and comparative analysis, scientometric methods such as co-occurrence analysis, cocitation analysis, and coupling analysis were used to analyze the knowledge structure of Fraud detection. Results showed tha作者: 上腭 時(shí)間: 2025-3-23 04:39
An Algorithm of?Set-Based Differential Evolution for?Discrete Optimization Problemed for continuous optimization problem. Extending approaches in continuous space to these in discrete space with set-based representation schemes, differential evolution can adopt to discrete optimization problem. A candidate solution is defined by a crisp set and all arithmetic operations in mutati作者: NOVA 時(shí)間: 2025-3-23 09:14
Multi-objective Optimization Technique for RSU Deployment in the VANET. Roadside unit (RSU) complicated location, however, has an impact on the RSU network in terms of time delay, transmission efficiency, etc., making it challenging to use large-scale RSU networks. In view of this, a cooperative transmission framework is devised for data transmission in V作者: 令人苦惱 時(shí)間: 2025-3-23 09:44
Knowledge Learning-Based Brain Storm Optimization Algorithm for?Multimodal Optimization. However, the existing studies fail to resolve the contradiction between the required solution accuracy and the number of solutions. In this paper, an improved brain storm optimization (BSO) algorithm based on knowledge learning (KLBSO) is proposed as a solution to the problem. The properties of th作者: inscribe 時(shí)間: 2025-3-23 16:29 作者: insolence 時(shí)間: 2025-3-23 18:56 作者: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-24 00:22 作者: RAFF 時(shí)間: 2025-3-24 02:51
https://doi.org/10.1007/978-981-19-8991-9artificial intelligence; computer hardware; computer networks; computer security; computer vision; correl作者: 能得到 時(shí)間: 2025-3-24 06:56 作者: 機(jī)械 時(shí)間: 2025-3-24 14:45
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262920.jpg作者: antecedence 時(shí)間: 2025-3-24 17:42 作者: inculpate 時(shí)間: 2025-3-24 21:48
Collineations and Conic Sectionsnal distributions of RBMs commonly produce effective features for the two tasks, building these expressive conditional distributions and sampling from the distributions are difficult for conventional RBMs. In this paper, a Complementary Convolutional Restricted Boltzmann Machine (CCRBM) is proposed.作者: 剝皮 時(shí)間: 2025-3-25 02:38 作者: 調(diào)色板 時(shí)間: 2025-3-25 05:49 作者: 意見一致 時(shí)間: 2025-3-25 09:53 作者: Heretical 時(shí)間: 2025-3-25 14:51 作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-25 18:30
https://doi.org/10.1057/9781137297242in then the regression-line does not rotate by the same angle . except for the special case when all .’s are collinear. This makes the regression-line unsuitable as a linear model of a set of data points for applications in data mining and machine learning. We present an alternative linear model tha作者: 維持 時(shí)間: 2025-3-25 20:17 作者: ovation 時(shí)間: 2025-3-26 00:12
https://doi.org/10.1057/9781137297242erging trends in this field. Besides scientific outputs evaluation using statistical analysis and comparative analysis, scientometric methods such as co-occurrence analysis, cocitation analysis, and coupling analysis were used to analyze the knowledge structure of Fraud detection. Results showed tha作者: motor-unit 時(shí)間: 2025-3-26 06:03 作者: 玩忽職守 時(shí)間: 2025-3-26 08:27 作者: TERRA 時(shí)間: 2025-3-26 13:01
https://doi.org/10.1007/978-3-319-15129-8. However, the existing studies fail to resolve the contradiction between the required solution accuracy and the number of solutions. In this paper, an improved brain storm optimization (BSO) algorithm based on knowledge learning (KLBSO) is proposed as a solution to the problem. The properties of th作者: 假 時(shí)間: 2025-3-26 20:44
https://doi.org/10.1007/978-3-319-14809-0most methods focus on mining the local features from node neighbors, while ignoring non-local features in the stock market. Second, most existing works form the portfolio with the stocks with the highest predicted return, exposed to some risk factors that cause common price movements. To reduce the 作者: 博識(shí) 時(shí)間: 2025-3-26 21:25
https://doi.org/10.1007/978-981-99-5052-2 market collective decision-making. In this paper, we investigate whether public sentiment drives stock market performance. To be specific, we look at whether there is an association between changes in the Dow Jones Industrial Average (DJIA) and sentiment expression by using a large-scale comprehens作者: 牽連 時(shí)間: 2025-3-27 01:51 作者: 共同確定為確 時(shí)間: 2025-3-27 06:01 作者: Anhydrous 時(shí)間: 2025-3-27 09:52 作者: 寡頭政治 時(shí)間: 2025-3-27 14:50 作者: photopsia 時(shí)間: 2025-3-27 21:42
https://doi.org/10.1007/978-981-99-5052-2en public sentiment and DJIA index value is studied through Granger causal analysis and self-organizing fuzzy neural network. In addition, the changes in DJIA closing prices are predicted. Our results show that the accuracy of DJIA predictions can be significantly improved by including information o作者: dilute 時(shí)間: 2025-3-28 01:06 作者: 裂隙 時(shí)間: 2025-3-28 03:46
Research on Hot Spot Mining Technology for Network Public Opinions. The original dataset is preprocessed using Chinese word segmentation and removal of stopping words, and the text modeling of the preprocessed result set is carried out by a word embedding model. Finally, the Weibo public opinion data set was used as the corpus.作者: modifier 時(shí)間: 2025-3-28 07:57
Knowledge Learning-Based Brain Storm Optimization Algorithm for?Multimodal Optimizationzation ability of the algorithm. Secondly, by analyzing the MOPs, adding an archive set guarantees the solution’s diversity. To assess the efficiency of KLBSO, eight benchmark functions with various sizes and complexities were used. Comparing the results of KLBSO with those of state-of-the-art metho作者: DEMN 時(shí)間: 2025-3-28 12:39 作者: FID 時(shí)間: 2025-3-28 15:49 作者: dainty 時(shí)間: 2025-3-28 19:26 作者: Geyser 時(shí)間: 2025-3-29 02:50 作者: Narcissist 時(shí)間: 2025-3-29 04:51 作者: notification 時(shí)間: 2025-3-29 10:11 作者: 刪減 時(shí)間: 2025-3-29 11:33 作者: 符合你規(guī)定 時(shí)間: 2025-3-29 18:26 作者: NIP 時(shí)間: 2025-3-29 23:09 作者: Inculcate 時(shí)間: 2025-3-30 00:38
Genome-Wide Feature Selection of?Robust mRNA Biomarkers for?Body Fluid Identification data indicated that our biomarkers could also be employed for accurate body fluid mixture deconvolution. We believe our methods may facilitate body fluid identification and provide insights into forensic crime scene reconstruction.作者: 感激小女 時(shí)間: 2025-3-30 05:18 作者: 清楚 時(shí)間: 2025-3-30 11:45 作者: 沐浴 時(shí)間: 2025-3-30 13:24
Non-Adiabatic Molecular Collisionsion accuracy of the target is too low. HOS-YOLOv5 has conducted a large number of experiments on the public dataset DOTA. The experimental results show that compared with the traditional YOLOv5, the mAP of HOS-YOLOv5 is increased by 4.65%, and a good detection effect is achieved.作者: 等級(jí)的上升 時(shí)間: 2025-3-30 19:48
https://doi.org/10.1057/9781137297242nough features. Experimental results show that the dice scores of 0.95, 0.90, 0.84, and 0.91, 0.84, 0.77 were achieved for the whole tumor, core tumor, and enhancing tumor, using the BraTS 2018 and local private dataset, respectively. When compared to cutting-edge methods, this study achieves competitive segmentation results.作者: Traumatic-Grief 時(shí)間: 2025-3-30 22:48 作者: GRIN 時(shí)間: 2025-3-31 02:50
George Metreveli,Fritz H. Frimmeltion the CAFé credit is supported by clearly defining the “BBB” as the basic investment level with annualized rate of default probability in accordance with international standards in the practice of financial industries, and the credit transition matrix for “AAA-A” to “CCC-C” credit grades.
