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第七届大数据和机器学习国际会议 </h4>
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7th International Conference on Big Data and Machine Learning </h4>
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第七届大数据和机器学习国际会议 </h4>
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<font size="7">" </font>第七届大数据和机器学习国际会议
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<h4 data-animation="fadeInUp" data-delay="100ms" style="animation-delay: 100ms;"> <i class="icon-agenda-1"></i> 20-22 Sep, 2024</h4>
<h4 data-animation="fadeInUp" data-delay="100ms" style="animation-delay: 100ms;"> <i class="icon-placeholder"></i> Xiamen, China</h4>
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7th International Conference on Big Data and Machine Learning </h4>
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7th International Conference on Big Data and Machine Learning </h4>
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第七届大数据和机器学习国际会议 </h4>
<h4 data-animation="fadeInUp" data-delay="100ms" style="animation-delay: 100ms;"> <i class="icon-agenda-1"></i> 20-22 Sep, 2024 </h4>
<h4 data-animation="fadeInUp" data-delay="100ms" style="animation-delay: 100ms;"> <i class="icon-placeholder"></i> Xiamen, China</h4>
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<span><font size="3">★ 第七届大数据和机器学习国际会议</font><font size="2">
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<h3> About this event ★</h3>
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<p><span style="font-size: 11pt">2024 7th International Conference on Big Data and Machine Learning will be held in Xiamen, China during September 20-22, 2024.
Machine Learning (ML) and Big Data Processing & Analytics
(BDA) are both evolutionary fields of computing and the
developments in these fields are complementing each other.
The ever changing data landscape in modern digital world
have resulted in newer ways of data processing frameworks in
order to get meaningful insights which are unprecedented. ML
based Big Data Processing has gained popularity and new
developments are on the rise for efficient data processing.
This field is witnessing unparalleled emergence of new
methods and approaches for efficient data processing in
order to discover interestingness for decision making. Thus,
more and more ML based data processing approaches are being
used for Big Data Processing. With the splurge data from
different newer sources, heterogeneous nature of data,
uncertain & unstructured data, the so called Big Data with
all its characteristics (5 Vs) there is an ever increasing
need to use approaches which aid in modelling and processing
of these data, provide automated approach to data processing
and so on. Thus the BDML conference series welcomes the
scholars who are researching in this interesting &
challenging domain of ML and Big Data Processing and provides an excellent international forum for
sharing knowledge and results in theory, methodology and
applications of Big Data and Machine Learning. <br>
<br>
</span>
<span><font size="3">★ </font> </span>
<span style="font-size: 11pt">第七届大数据与机器学习国际会议将于2024年9月20-22日在中国厦门召开。<br>
机器学习（ML）和大数据处理与分析（BDA）都是计算的新兴领域，这些领域的发展是相辅相成的。现代数字世界中不断变化的数据格局导致了更新的数据处理框架，以获得前所未有的有意义的见解。基于ML的大数据处理越来越受欢迎，高效数据处理的新发展正在兴起。该领域正在见证无与伦比的高效数据处理新方法和新方法的出现，以发现决策的趣味性。因此，越来越多的基于ML的数据处理方法被用于大数据处理。随着来自不同新来源的挥霍数据，数据的异构性，不确定和非结构化数据，所谓的大数据及其5V特征
(大量化Volume、价值化Value, 多样化Variety, 快速化Velocity, 真实性Veracity),
越来越需要使用有助于这些数据建模和处理的有效手段，期盼能挖掘出更多更新自动化的数据处理方法等等。为解决这些技术上的挑战,
BDML系列会议欢迎正在研究机器学习和大数据处理这一兼具趣味性与挑战性领域的学者，并为分享大数据和机器学习的理论，方法论和应用方面的知识和结果提供了一个优质的交流平台。</span></p>
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<p align="justify"> All submissions will be peer reviewed by 2-3 reviewers, and all the accepted papers will be published in International Conference Proceedings, which can be submitted to EI and Scopus for Indexing.</p>
<p align="justify"> Papers must be unpublished and must not be
submitted for publication elsewhere. All papers will
be reviewed by Program Committee members and other
experts active in the field to ensure high quality
and relevance to the conference. Submissions should
include author information, abstract, 5-10 keywords,
and be in PDF format. It is imperative to prepare
the paper using the standard template. (You need to
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encounter problem in paper uploading via submission
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<p align="justify">Huaqiao University (HQU) was set up by the Chinese central government in 1960, to educate students from overseas China (Singapore, Macau, Hong Kong and Taiwan). Huaqiao means "Overseas Chinese University". One campus is located in Quanzhou, a coastal city that is the largest in the Fujian province of southeastern China, and another campus in Xiamen. In 1983, HQU was granted as one of China's Prioritized Fostered Universities by Chinese Central Government. In 2003, the university was qualified as "Excellent" by the Ministry of Education in its first Undergraduate Teaching Performance Assessment. In 2006, Xiamen Campus of the university was officially launched. In 2017, HQU was selected into the construction plan of world-class universities and world-class disciplines (also named as Double First-Class Initiative) of Fujian Province.</p>
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<h3><span class="counter">30</span></h3>
<font size="5">August</font><font size="3">
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