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

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BDA'
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투고 마감일:
2024-07-31 Extended
통보일:
2024-09-15
개최일:
2024-12-17
개최지:
Telangana, India
개최 횟수:
12
조회: 9549   팔로우: 0   참가: 0

회반 지수 (CP-I)

47.4 / 100
전체 5,693개 중 2,210위 · 상위 39%

데이터 마이닝·데이터베이스 분야 337개 중 126위 인공지능·기계학습 분야 742개 중 240위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
69
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
35

사용한 입력: 확인되는 개최 횟수: 12 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-03

논문 모집

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).
최종 수정: Dou Sun ()

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
45.0BDAInternational Conference on Big Data Analytics2020-07-062020-12-15
39.8Big DataInternational Conference on Big Data2014-04-302014-08-04
41.0Artificial IntelligenceInternational Conference on Automation and Artificial Intelligence2022-06-012020-05-21
43.4IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-04-04
AA*92.5SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.4CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.6STOCACM Symposium on Theory of Computing2026-11-022027-06-06

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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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