会议信息

BIOM 2022: International Conference on Big Data, IoT and Machine Learning

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截稿日期:
2022-10-08 Extended
通知日期:
2022-10-15
会议日期:
2022-10-22
会议地点:
Sydney, Australia
届数:
2
浏览: 13799   关注: 2   参加: 0

会伴指数 (CP-I)

39.0 / 100
全站第 5,315 名 / 共 5,693 个会议 · 前 94%

数据挖掘与数据库 第 317 / 337 人工智能与机器学习 第 683 / 742 网络与通信 第 819 / 865

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
19
资料公开度 (15%)
25

用到的输入: 有据可查的届次：2 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-03

征稿

BIOM 2022 (International Conference on Big Data, IoT and Machine Learning) is an academic conference held in Sydney, Australia on 2022-10-22. The paper submission deadline is 2022-10-08 (extended). Acceptance notifications are sent on 2022-10-15.

2nd International Conference on Big Data, IoT and Machine Learning (BIOM 2022) October 22 ~ 23, 2022, Sydney, Australia https://comit2022.org/biom/index Scope & Topics 2nd International Conference on Big Data, IoT and Machine Learning (BIOM 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Internet of Things (IoT) and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data, IoT and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following: • 5G and Networks for Big Data • Big Data Analytics and Social Media • Big Data Applications, Bioinformatics, Multimedia etc • Big Data Infrastructure and platform • Big Data Management • Big Data Mining • Big Data Search and Mining • Big Data Security, Privacy and Trust • Big Data Techniques, models and algorithms • Big Data Tools and systems • Cloud and grid computing for Big Data • Connectivity and Networking • Deep Learning • Electronics and Signal processing for IoT • Experimental Results and Deployment Scenarios • Internet of Things • IoT Applications and Services • IoT-enabled Innovation and Entrepreneurship • Learning in knowledge-intensive systems • Learning Methods and analysis • Learning Problems • Machine Learning and AI for Big Data • Machine Learning Applications • Security and Privacy for IoT Paper Submission Authors are invited to submit papers through the conference Submission System by October 08, 2022(Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from BIOM 2022, after further revisions, will be published in the special issue of the following journal. • International Journal of Data Mining & Knowledge Management Process (IJDKP) • International Journal of Database Management Systems (IJDMS) • Machine Learning and Applications: An International Journal (MLAIJ) • Advances in Vision Computing: An International Journal (AVC) • International Journal of Grid Computing & Applications (IJGCA) • International Journal of Ambient Systems and Applications (IJASA) • International Journal on Web Service Computing (IJWSC) Important Dates • Submission Deadline : October 08 ,2022(Final Call) • Authors Notification : October 15, 2022 • Registration & Camera-Ready Paper Due : October 18, 2022 Contact Us Here’s where you can reach us : [email protected] or [email protected]
由 Richert Kevin 最后更新于

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CKnowledge-Based Systems7.2Elsevier0950-7051
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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