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ICBDR 2026: International Conference on Big Data Research

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ICBDR
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投稿締切日:
2026-05-10 Extended
通知日:
2026-05-25
開催日:
2026-06-12
開催地:
Chengdu, China
開催回数:
7
閲覧: 15416   フォロー: 0   参加: 0

会伴インデックス (CP-I)

45.5 / 100
全 5,682 件中 第 2,708 位 · 上位 48%

データマイニング・データベース 分野 337 件中 第 161 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
56
コミュニティの注目度 (10%)
16
公開情報の充実度 (15%)
35

使用した入力: 確認できる開催回数：7 · 過去 24 か月にこのページを開いた研究者：7 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-16

論文募集

ICBDR 2026 (International Conference on Big Data Research) is an academic conference held in Chengdu, China on 2026-06-12. The paper submission deadline is 2026-05-10 (extended). Acceptance notifications are sent on 2026-05-25.

We encourage original submissions related to, but not limited to, the following advanced energy materials based system topics: 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 Advances in Neural Networks and Deep Learning for Large-Scale Data Analytics Evolutionary Computation and Genetic Algorithms for Big Data Optimization Fuzzy Systems for Uncertain and Complex Data Modeling Decentralized and Self-Organizing Networks for Scalable Data Clustering Self-Adaptive Architectures for Real-Time Big Data Stream Processing Bio-Inspired Self-Organization in Edge Computing and IoT Data Fusion 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 Real-Time Big Data Processing and Stream Architectures Scalable Storage Systems for Big Data Edge and Fog Computing for Big Data AI-Driven Big Data Architecture Design Energy-Efficient Big Data Systems Privacy-Preserving Big Data Architectures Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data Storage and Retrieval Adaptive Distributed Storage: Self-Optimizing Architectures for Scalable Data Lakes Self-Healing Data Backup Strategies in Decentralized Environments Autonomic Indexing and Retrieval in Large-Scale Unstructured Data Networks Energy-Efficient Self-Organization for Edge-Based Big Data Processing Bayesian Nonparametrics for Anomaly Detection in High-Velocity Data Streams Robust Statistical Cleaning of Noisy Heterogeneous Datasets Causal Inference Frameworks for Data Quality Root-Cause Analysis Big Data Security and Privacy Big Data System Security and Integrity Big Data Information Security Privacy Preserving Big Data Analytics Secure Multi-Party Computation for Big Data Blockchain-Based Big Data Security Solutions Differential Privacy in Big Data Systems AI-Powered Threat Detection in Big Data Compliance and Regulatory Challenges in Big Data (GDPR, CCPA, etc.) Secure Data Provenance and Auditing Adversarial Attacks and Defenses in Big Data Analytics Big Data in Smart Cities Big Data for Improving Resilient Infrastructures Big Data Applications such as Healthcare and Transportation Big Data for Enterprise, Government, and Society Big Data for Science and Engineering Research Deep Learning for Smart City Traffic Flow Prediction and Optimization Fuzzy Logic-Based Demand Response in Smart Grids: Handling Uncertainty in Energy Load Forecasting Large-Scale Satellite Image Processing: Machine Learning for Deforestation and Carbon Emission Monitoring Bayesian Uncertainty Quantification in Climate Risk Assessment Big Data Search, Mining, and Visualization Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Interactive and Real-Time Big Data Visualization Explainable AI (XAI) for Big Data Mining Graph Mining and Network Analysis at Scale Natural Language Processing (NLP) for Big Text Data Multimodal Big Data Fusion and Mining Human-in-the-Loop Big Data Analytics
最終更新：Dunn Carl （）

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Big Data Research4.2Elsevier2214-5796
Journal of Big Data6.4Springer2196-1115
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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