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

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发表于 2025-3-21 19:08:10 | 显示全部楼层 |阅读模式
书目名称Data Mining and Big Data
副标题8th International Co
编辑Ying Tan,Yuhui Shi
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(
描述This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China, in 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 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..
出版日期Conference proceedings 2024
关键词artificial intelligence; classification and prediction; clustering tasks; data mining; machine learning;
版次1
doihttps://doi.org/10.1007/978-981-97-0837-6
isbn_softcover978-981-97-0836-9
isbn_ebook978-981-97-0837-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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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
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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
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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
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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
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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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