학회 정보

BDTA 2020: International Conference on Big Data Technologies and Applications

학회 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
회원가입 로그인
투고 마감일:
2020-07-01
통보일:
2020-08-06
개최일:
2020-12-05
개최지:
Wuhan, China
개최 횟수:
10
조회: 18348   팔로우: 2   참가: 0
이 페이지에 잘못된 정보가 있나요? 알려 주세요
마감 카운트다운 배지 삽입
BDTA
이 데이터를 API로 가져오기
검색과 순위 목록은 자격 증명이 전혀 필요 없습니다. 이 페이지의 상세 데이터에는 무료 API 키가 필요합니다. 자세한 내용은 개발자 안내 페이지를 참고하세요.

회반 지수 (CP-I)

46.0 / 100
전체 5,693개 중 2,587위 · 상위 46%

데이터 마이닝·데이터베이스 분야 337개 중 153위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
65
커뮤니티 관심도 (10%)
19
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 10 · 회반에서 팔로우 중인 연구자: 2명 · 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 2026-10-06

논문 모집

BDTA 2020 (International Conference on Big Data Technologies and Applications) is an academic conference held in Wuhan, China on 2020-12-05. The paper submission deadline is 2020-07-01. Acceptance notifications are sent on 2020-08-06.

Scope Due to the explosive evolution of Information Technology and Computer Science, we have entered in the Big Data Age, and this is really a scientific revolution, not just a fashion. As always, the technological aspects evolve faster than the scientific community mentality. Transforming Big Data into Big Knowledge and developing a new kind of Knowledge-Based Systems require new visions and approaches. Companies, facing the Big Data challenges, are moving faster in the right direction than the scientific community, being under a stronger competitive pressure. They were forced to renounce to wishful thinking, like the idea that a few variables, embedded in a few rules, discovered using the old fashion statistics, will give intelligent support for business decisions. We have to do the same for developing various applications. Moreover, motivated by the big data analytics needs, new computing and storage technologies are developing rapidly and pushing for new high-end hardware geared toward big data problems. While the high-performance computing technologies have the potential to greatly improve the effectiveness of big data analytics, the cost and sophistications of those technology and limited initial application support often make them inaccessible to the end users and not fully utilized in academia years later. Meanwhile, comprehensive analytic software environment and platforms, such as R and Python, have become increasingly popular open-source platforms for data analysis. Also, Computational Intelligence (CI) methodologies, tailored to Big Data, and combined with a proper vision of living systems, e.g., as complex dynamical systems or networks of interacting entities, could pave the way to Knowledge-Based System. Topics We welcome contributions from the following fields: Data Visualization and Visual Analytics Natural Language Processing in Big Texts Biomedical imaging pre‐processing and Analysis Hardware and Software solutions for Big Data Searching, Storing and Management Structured and Unstructured Data/Text/Web Mining Deep Learning architecture, representations, unsupervised and supervised algorithms Scalable computational intelligence tools Novel Computational Intelligence approaches for data analysis Evolutionary and Bio‐inspired approaches for Big Data analysis New domains and novel applications related to Big Data technologies Education Data Mining and Visualization Educational Big Data and Learning Analysis Artificial Intelligence in Education Big Data and Intelligent Learning Environment Deep Learning Application in Education Publication All accepted and presented papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Past volumes of BDTA proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL). Authors of selected best accepted and presented papers will be invited to submit an extended version to: Mobile Networks and Applications (MONET) Journal (IF: 2.390) EAI Endorsed Transactions on Scalable Information Systems Get published with EAI: EAI Transactions (Open Access) EAI/Springer Innovations in Communications and Computing Book Series
최종 수정: Dou Sun ()

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
39.8Big DataInternational Conference on Big Data2014-04-302014-08-04
43.4IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-04-04
C56.7DATAInternational Conference on Data Science, Technology and Applications2027-03-252027-07-19
AA*92.6SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.8AAAIAAAI 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
C87.5ICCInternational Conference on Communications2026-10-022027-05-30

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

댓글 0

아직 댓글이 없습니다.

댓글을 작성하려면 로그인해 주세요