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ICBDA 2027: IEEE Conference on Big Data Analytics

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ICBDA
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截稿日期:
2026-12-10 还有 80 天
通知日期:
2027-01-10
会议日期:
2027-04-26
会议地点:
Bangkok, Thailand
届数:
浏览: 34847   关注: 20   参加: 5

会伴指数 (CP-I)

53.8 / 100
全站第 944 名 / 共 5,683 个会议 · 前 17%

数据挖掘与数据库 第 47 / 337

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%)
69
社区关注 (10%)
43
资料公开度 (15%)
55

用到的输入: 有据可查的届次：12 · 在会伴关注它的研究者：20 人 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 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 2026-09-21

征稿

ICBDA 2027 (IEEE Conference on Big Data Analytics) is an academic conference held in Bangkok, Thailand on 2027-04-26. The paper submission deadline is 2026-12-10. Acceptance notifications are sent on 2027-01-10.

Aims and Scope 2027 the 12th International Conference on Big Data Analytics (ICBDA) has established itself as the world’s premier research conference in Big Data Analytics. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. ICBDA draws researchers, application developers, and practitioners from a wide range of Big Data Analytics related areas such as Big Data Models and Algorithms, Big Data Architectures, Big Data Management, Big Data Protection, Big Data Search and Mining and Big Data for Enterprise, Government and Society. By promoting novel, high-quality research findings, and innovative solutions to challenging Big Data Analytics, the conference seeks to advance the state-of-the-art in Big Data Analytics. Topics of Interest Topics of interest include, but are not limited to: Big Data Models and Algorithms Foundational Models for Big Data Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics Representation Formats for Multimedia Big Data Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open Platforms Big Data in Mobile and Pervasive Computing Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Management Issues of Social Network Big Data Big Data Protection, Integrity and Privacy Models and Languages for Big Data Protection Privacy Preserving Big Data Analytics Big Data Encryption Security Applications of Big Data Anomaly Detection in Very Large Scale Systems Collaborative Threat Detection using Big Data Analytics Big Data Search and Mining Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Big Data for Enterprise, Government and Society Big Data Economics Real-life Case Studies of Value Creation through Big Data Analytics Big Data for Business Model Innovation Big Data Toolkits Big Data in Business Performance Management SME-centric Big Data Analytics Big Data for Vertical Industries (including Government, Healthcare, and Environment) Scientific Applications of Big Data Large-scale Social Media and Recommendation Systems Experiences with Big Data Project Deployments Big Data in Enterprise Management Models and Practices Big Data in Government Management Models and Practices Big Data in Smart Planet Solutions Big Data for Enterprise Transformation Blockchain Blockchain based lightweight data structures for IoT data Blockchain based IoT security solutions Blockchain in cyber physical systems Blockchain in social networking Bolckchain in crowdsourcing and crowdsensing Blockchain in 5G Blockchain in edge and cloud computing Blockchain and trust management
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