Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(

Jejunum

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

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憤怒歷史

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

生命層

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

經(jīng)典

Project

Project

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

Indict

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

表臉

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

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