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BigDaCI 2026: International Conference on Big Data Analytics, Data Mining and Computational Intelligence

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BigDaCI
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투고 마감일:
2026-05-08 Extended
통보일:
2026-06-05
개최일:
2026-07-25
개최지:
Valencia, Spain
개최 횟수:
11
조회: 22108   팔로우: 10   참가: 6

회반 지수 (CP-I)

50.0 / 100
전체 5,693개 중 1,612위 · 상위 29%

데이터 마이닝·데이터베이스 분야 337개 중 85위 인공지능·기계학습 분야 742개 중 157위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
67
커뮤니티 관심도 (10%)
39
공개 자료 충실도 (15%)
35

사용한 입력: 확인되는 개최 횟수: 11 · 회반에서 팔로우 중인 연구자: 10명 · 지난 24개월 동안 이 페이지를 연 연구자: 7명

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 2026-10-04

논문 모집

BigDaCI 2026 (International Conference on Big Data Analytics, Data Mining and Computational Intelligence) is an academic conference held in Valencia, Spain on 2026-07-25. The paper submission deadline is 2026-05-08 (extended). Acceptance notifications are sent on 2026-06-05.

The growth of data both structured and unstructured will present challenges as well as opportunities for industries and academia over the next few years. With the explosive growth of data volumes, it is essential that real-time information that is of use to the business can be extracted to deliver better insights to decision-makers, understand complex patterns etc. Computational Intelligence tools offer adaptive mechanisms that enable the understanding of data in complex and changing environments. The main building blocks of computational intelligence involve computational modelling of biological and natural intelligent systems, multi-agent systems, hybrid intelligent systems etc. The conference is expected to provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence. The conference programme will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks. The aim of BigDaCI’26 is to serve as a forum to present current and future work as well as to exchange research ideas in this field. BigDaCI’26 invites authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence and other intelligent computing techniques and their applications in science, technology, business and commerce. BigDaCI’26 will focus on the following themes: Big Data Algorithms and Architectures – Foundations of big data processing – Programming Techniques – Analytics and Metrics – Representation Formats – Cloud Computing Techniques – Mobile and Pervasive Computing – Data Management – Data Quality – Social Network – Protection, Integrity and Privacy – Distributed Data Mining – Visualization Big Data Applications – Web Intelligence – Humanities – Stock Market Analysis – Scalable Cloud Data Management – Privacy and Security – Geosciences – Manufacturing and Supply Chains – Earth Science – Biomedical Informatics – High dimensional data – Social Networks – B2B Marketing and Sales – Healthcare – Sustainable development – Advanced Manufacturing Computational Intelligent Frameworks for Big Data Processing – Artificial Neural Networks and Learning methods – Knowledge based systems – Uncertainty management – Global optimization methods – Intelligent Control Systems – Intelligent Internet Systems – Intelligent Software Systems – Parallel Computation – Pattern Recognition – Systems Modelling – Web Mining Multi-Agent Systems: Models, Architectures and Applications – Ontologies – Computational Complexity – Mobile Agents – Negotiation Strategies – Security, Privacy and Trust – Agent Applications, Technologies and Trends – Agent Models and Architectures – Web Agents – Protocols and Standards Data Mining Topics and Applications – Parallel and distributed data mining algorithms – Data streams mining – Graph mining – Spatial data mining – Text video, multimedia data mining – Web mining – Pre-processing techniques – Visualization – Security and information hiding in data mining – Data Mining Applications
최종 수정: Natalia Teixeira ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
Statistical Analysis and Data MiningWiley1932-1872
International Journal of Data Mining, Modelling and ManagementInderscience1759-1163
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

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