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BDA' 2024: International Conference on Big Data and Artificial Intelligence

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BDA'
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投稿締切日:
2024-07-31 Extended
通知日:
2024-09-15
開催日:
2024-12-17
開催地:
Telangana, India
開催回数:
12
閲覧: 9551   フォロー: 0   参加: 0

会伴インデックス (CP-I)

47.4 / 100
全 5,693 件中 第 2,210 位 · 上位 39%

データマイニング・データベース 分野 337 件中 第 126 位 人工知能・機械学習 分野 742 件中 第 240 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%)
69
コミュニティの注目度 (10%)
8
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：12 · 過去 24 か月にこのページを開いた研究者：2 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 2026-10-03

論文募集

BDA' 2024 (International Conference on Big Data and Artificial Intelligence) is an academic conference held in Telangana, India on 2024-12-17. The paper submission deadline is 2024-07-31 (extended). Acceptance notifications are sent on 2024-09-15.

The 12th International Conference on Big Data Analytics and Artificial Intelligence (BDA 2024) will be held during December 17-20, 2024. The conference will be organized by the University of Hyderabad (UoH), India. BDA 2024 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including artificial intelligence, machine learning, storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends. BDA 2024 invites original, technically sound, original, high-quality research papers proposing novel solutions addressing the problems related to big data analytics as well as case studies and practical experiences with big data. Major topics of interest to the conference include, but are not limited to: Big Data Systems and Data Science Data Integration Data pre-processing NoSQL and non-standard Data Models Data Fusion and Multi Modal Analytics Sensor data management, Statistical and scientific databases Index Structures, Scalability and Performance Data Mining (Association rule, classification, clustering, pattern mining, query analysis, anomaly and outlier detection) Spatio-temporal, time-series, sequential, stream and sensor data mining Model Discovery from Big Data Big Data Processing Distributed and Cloud Computing Conceptual/cognitive/programming Models for Big data analytics, Information Retrieval and Extraction Semantic web and knowledge management Graph and social network analysis Information search Human-in-the-loop computation and crowdsourcing User interface design Recommendation systems Data visualization Graph mining Privacy, security, trust and fairness in big data Semantics of Big Data, Processing of Big Data Artificial Intelligence Machine Learning and AI techniques for big data Conversational AI (e.g., chatbots and voice assistants) Large Language Models and vision transformers Deep Learning Prompt Engineering Reinforcement learning Generative AI Quantum ML Decision-focussed learning Neuro-symbolic methods and reasoning Non-IID learning, and OOD generalization Edge analytics and federated learning Technology and Practice Innovative Data science and AI applications in agriculture, medical, drug discovery, environment, climate change. E-governance and so on. AI technologies for trend detection, analysis and tracing on contact networks Domain-specific Analytics Interaction Design for Exploratory Analytics AI technologies for trend detection, analysis and tracing on contact networks Innovative search and recommendation applications Database usability and HCI Advanced database and Web applications Bio and health informatics Research Track Submissions: Each paper should contain an abstract of approximately 250 words with a page limit of 20 pages in the LNCS style. The submissions include the title page, references and appendix. For preparing the manuscript, please see instructions for authors by Springer in the Lecture Notes in Computer Science series (LNCS). The BDA proceedings is expected to be published by Springer's LNCS series (approval pending).
最終更新：Dou Sun（）

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CCF正式名称インパクトファクター出版社ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
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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