標(biāo)題: Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author( [打印本頁] 作者: Jejunum 時(shí)間: 2025-3-21 19:08
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: fender 時(shí)間: 2025-3-21 20:26 作者: 憤怒歷史 時(shí)間: 2025-3-22 02:39
Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Dataerience but also in assessing factors impacting audience retention and the overall sustainability of streaming platforms. This study conducts a comprehensive evaluation of machine learning methods for online live streaming traffic prediction using extensive hourly traffic data. The dataset comprises作者: 生命層 時(shí)間: 2025-3-22 07:05
Forecasting Chinese Overnight Stock Index Movement Using Large Language Models with?Market Summary, we investigate the ability of large language models to predict Chinese overnight stock index movement, utilizing market summary gleaned from news media sources. We fine-tune various pre-trained models to compare the performance with that of Generative Pre-training Transformer (GPT) models, specifi作者: 經(jīng)典 時(shí)間: 2025-3-22 11:52 作者: Project 時(shí)間: 2025-3-22 16:05 作者: Project 時(shí)間: 2025-3-22 20:03
A Unified Recombination and?Adversarial Framework for?Machine Reading Comprehensionrequires the machine to understand the semantics better, since most of its corresponding candidates are paraphrases of the references. State-of-the-art methods concentrate on the single type question and design ad-hoc models. Nevertheless, in practical reading comprehension scenarios, given a passag作者: Indict 時(shí)間: 2025-3-23 01:10
Research on Data Mining Methods in the Field of Quality Problem Analysis Based on BERT Model machine understanding. Most of the current data mining work in the field is based on deep learning models, which is difficult to be integrated into the characteristics of the data in the field. Also, there are still some deficiencies in its accuracy rate and training speed. Therefore, this paper ca作者: 表臉 時(shí)間: 2025-3-23 03:38
Cross-Language Text Search Algorithm Based on Context-Compatible Algorithmsges of technical at home and abroad, cross-lingual searching algorithm becomes particularly important. This article studied on the cross-lingual text searching algorithm based on context compatibility. In this article, context was integrated into searching, to some extent of which ensures the accura作者: obnoxious 時(shí)間: 2025-3-23 06:59 作者: Fortify 時(shí)間: 2025-3-23 12:55
Empirical Analysis on?the?Effectiveness of?Pre-trained Models in?the?Identification of?Physical Violng and mitigating of its effects in public spaces and the potential apprehension of aggressors. While several algorithms have been developed for violence detection, their evaluation has primarily focused on controlled scenarios with clear differentiation between violent and non-violent scenes, repre作者: BIAS 時(shí)間: 2025-3-23 17:18 作者: 清真寺 時(shí)間: 2025-3-23 21:06 作者: 柏樹 時(shí)間: 2025-3-23 22:45
Proximal Policy Optimization for?Same-Day Delivery with?Drones and?Vehicles new insights for decision makers. However, decisions in real-time involving assignment and routing of vehicles and drones suffer “curse of dimensionality”, due to stochastic and dynamic orders, huge state spaces as well as associated and diverse decisions. In this paper, a deep reinforcement learni作者: obsession 時(shí)間: 2025-3-24 05:49 作者: CHAR 時(shí)間: 2025-3-24 10:33
https://doi.org/10.1007/978-981-97-0837-6artificial intelligence; classification and prediction; clustering tasks; data mining; machine learning; 作者: Fulsome 時(shí)間: 2025-3-24 13:49
978-981-97-0836-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 敵手 時(shí)間: 2025-3-24 18:43 作者: 驚奇 時(shí)間: 2025-3-24 19:59 作者: Criteria 時(shí)間: 2025-3-25 02:08 作者: ALIEN 時(shí)間: 2025-3-25 05:25 作者: 欺騙世家 時(shí)間: 2025-3-25 08:35
Collective Bargaining in Labour Law Regimes, we investigate the ability of large language models to predict Chinese overnight stock index movement, utilizing market summary gleaned from news media sources. We fine-tune various pre-trained models to compare the performance with that of Generative Pre-training Transformer (GPT) models, specifi作者: Pulmonary-Veins 時(shí)間: 2025-3-25 14:01
?ukasz Pisarczyk,Dagmara Skupieńes. Various enhancement algorithms employ grouping strategies to bolster performance in large-scale networks. However, as nodes consolidate into smaller clusters, their capacity to accommodate Byzantine nodes diminishes markedly, prompting the need for a systematic approach to distributing Byzantine作者: 故意釣到白楊 時(shí)間: 2025-3-25 19:26
Collective Bargaining in Labour Law Regimesherefore, transfer learning has been introduced to fault diagnosis of BF. Most of the existing transfer learning methods achieve domain adaptation by reducing the marginal and conditional distribution discrepancies, without considering the prior distribution. To address this issue, this paper provid作者: 衰老 時(shí)間: 2025-3-25 21:12 作者: GROWL 時(shí)間: 2025-3-26 01:54 作者: 欺騙世家 時(shí)間: 2025-3-26 06:31 作者: 無價(jià)值 時(shí)間: 2025-3-26 10:11 作者: 鋪?zhàn)?nbsp; 時(shí)間: 2025-3-26 12:43
Collective Bargaining in Labour Law Regimesng and mitigating of its effects in public spaces and the potential apprehension of aggressors. While several algorithms have been developed for violence detection, their evaluation has primarily focused on controlled scenarios with clear differentiation between violent and non-violent scenes, repre作者: magnate 時(shí)間: 2025-3-26 20:44 作者: 冰雹 時(shí)間: 2025-3-26 21:47
https://doi.org/10.1007/978-3-540-24711-1rging force in artificial intelligence, ChatGPT provides new ideas for the combination of the financial industry and artificial intelligence. This paper focuses on whether it is feasible to apply ChatGPT to analyze text sentiment in financial markets. We collected three types of financial texts from作者: 吞吞吐吐 時(shí)間: 2025-3-27 04:07 作者: Alcove 時(shí)間: 2025-3-27 07:00
Comments on P. G. Hare and D. T. Ulph fail to fully utilize historical combination information between features. Moreover, when faced with ultra-high dimensional data, they often lack the necessary decision-making ability to select a suitable optimization direction. In this paper, we propose a double layer-reinforcement learning framew作者: 羽毛長成 時(shí)間: 2025-3-27 10:15
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262917.jpg作者: 相符 時(shí)間: 2025-3-27 15:17
A Localization Correction Algorithm of Location-Based Services Based on Point Clusteringated by the drift deviation when it is stationary, and then use the expectation to obtain relatively accurate positioning information, to achieve a certain degree of correction of the positioning drift deviation. In this paper, based on android platform, we call the basic Gaode positioning API to ob作者: d-limonene 時(shí)間: 2025-3-27 20:05
Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Datal exhibits outstanding accuracy and precision in predicting daily viewer counts when incorporating pertinent features. In the domain of large-scale and long-term live streaming data prediction, machine learning approaches surpass traditional time series forecasting methods. Moreover, our analysis un作者: ARK 時(shí)間: 2025-3-28 01:19 作者: GEM 時(shí)間: 2025-3-28 05:19
A Unified Recombination and?Adversarial Framework for?Machine Reading Comprehensionle these issues in a single model. First, we introduce the recombination layer to recombine candidates, which converts all types of questions into the same form. Next, to enrich the information contained by the representations of candidates, we design the encoding and the fusion layers to achieve th作者: 上腭 時(shí)間: 2025-3-28 09:47 作者: LAVA 時(shí)間: 2025-3-28 11:48
Cross-Language Text Search Algorithm Based on Context-Compatible Algorithmso-frequency analogue sentence relationship. Based on the context compatibility algorithm to study on the cross-lingual text searching, we designed the preliminary experiment and carried it out with some distinction effect.作者: Liberate 時(shí)間: 2025-3-28 15:51 作者: Trabeculoplasty 時(shí)間: 2025-3-28 21:10
Empirical Analysis on?the?Effectiveness of?Pre-trained Models in?the?Identification of?Physical Viollti-class identification challenges. Furthermore, we compare their performance against datasets consisting of two-class classifications, where the models generally exhibit satisfactory results. Our analysis reveals that the models struggle to differentiate the ambiguous scenes effectively, with Ince作者: Prophylaxis 時(shí)間: 2025-3-29 00:29
Assessing GPT-4 Generated Abstracts: Text Relevance and Detectors Based on Faithfulness, Expressivenclosely resemble the original abstracts without being detected by the plagiarism detector Turnitin in most cases. This implies that GPT-4 can produce logical and reasonable abstracts of articles on its own. Also, we conducted a cross-temporal analysis of GPT-4’s effectiveness and observed continuous作者: 范圍廣 時(shí)間: 2025-3-29 03:30 作者: 斜 時(shí)間: 2025-3-29 09:44
A Double-Layer Reinforcement Learning Feature Optimization Framework for Evolutionary Computation Barithms, optimized by our framework, achieves lower error rates and requires fewer features. Consequently, we posit that reinforcement learning can offer novel methods and ideas for the application of evolutionary computing in feature selection.作者: lacrimal-gland 時(shí)間: 2025-3-29 13:39
A New Deep Reinforcement Learning Algorithm for?UAV Swarm Confrontation Game作者: CHANT 時(shí)間: 2025-3-29 17:30
Collective Bargaining in Labour Law Regimesated by the drift deviation when it is stationary, and then use the expectation to obtain relatively accurate positioning information, to achieve a certain degree of correction of the positioning drift deviation. In this paper, based on android platform, we call the basic Gaode positioning API to ob作者: hermetic 時(shí)間: 2025-3-29 22:11 作者: Restenosis 時(shí)間: 2025-3-30 03:12
?ukasz Pisarczyk,Dagmara Skupień the federated chain to diverse clusters. Post-partitioning, the consensus process is streamlined, with each cluster autonomously conducting consensus activities. A well-designed reward function incentivizes nodes to execute the consensus protocol, aiding the system’s smooth and efficient operation.作者: 擦掉 時(shí)間: 2025-3-30 06:17 作者: palliate 時(shí)間: 2025-3-30 10:34 作者: Foolproof 時(shí)間: 2025-3-30 14:39
Collective Bargaining in Labour Law Regimeso-frequency analogue sentence relationship. Based on the context compatibility algorithm to study on the cross-lingual text searching, we designed the preliminary experiment and carried it out with some distinction effect.作者: Seizure 時(shí)間: 2025-3-30 16:53
https://doi.org/10.1007/978-3-030-16977-0approach achieves a significant improvement in macro-F1 compared to the direct distillation methods. Importantly, it exhibits commendable performance when trained on few-shot datasets and compact models.作者: 決定性 時(shí)間: 2025-3-30 22:39 作者: BROOK 時(shí)間: 2025-3-31 03:56
Macroeconomic Policy and Collective Actionclosely resemble the original abstracts without being detected by the plagiarism detector Turnitin in most cases. This implies that GPT-4 can produce logical and reasonable abstracts of articles on its own. Also, we conducted a cross-temporal analysis of GPT-4’s effectiveness and observed continuous作者: 有說服力 時(shí)間: 2025-3-31 07:22 作者: 妨礙 時(shí)間: 2025-3-31 12:01
Comments on P. G. Hare and D. T. Ulphrithms, optimized by our framework, achieves lower error rates and requires fewer features. Consequently, we posit that reinforcement learning can offer novel methods and ideas for the application of evolutionary computing in feature selection.作者: 健壯 時(shí)間: 2025-3-31 13:47 作者: 流浪者 時(shí)間: 2025-3-31 17:31
Collective Bargaining in Labour Law Regimeseters and more straightforward architectures, surpass the esteemed GPT-3.5 and GPT-4 models in predictive metrics of accuracy and f1. All fine-tuned models are publicly available on the huggingface platform (.).作者: expeditious 時(shí)間: 2025-4-1 01:13
Data Analytics Methods in Human Resource Demand Forecastingnterprise personnel, and the feasibility of the multiple regression model is verified. At the same time, the BP neural network algorithm is described in detail, and an example is given to compare the forecasting results of multiple linear regression method and BP neural network algorithm.作者: 凝乳 時(shí)間: 2025-4-1 05:03
Forecasting Chinese Overnight Stock Index Movement Using Large Language Models with?Market Summaryeters and more straightforward architectures, surpass the esteemed GPT-3.5 and GPT-4 models in predictive metrics of accuracy and f1. All fine-tuned models are publicly available on the huggingface platform (.).作者: 成份 時(shí)間: 2025-4-1 09:57
Conference proceedings 2024 December 2023.. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 submissions.. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many a
