학회 정보

ICPM 2027: International Conference on Process Mining

학회 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
회원가입 로그인
투고 마감일:
2026-09-04 마감됨
통보일:
2026-11-04
개최일:
2027-02-08
개최지:
Rende, Italy
개최 횟수:
ICORE: B   조회: 15517   팔로우: 2   참가: 1
이 페이지에 잘못된 정보가 있나요? 알려 주세요
마감 카운트다운 배지 삽입
ICPM
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)

58.1 / 100
전체 5,721개 중 688위 · 상위 13%
학술적 인정 (35%)
72
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
59
커뮤니티 관심도 (10%)
28
공개 자료 충실도 (15%)
55

사용한 입력: 수록 등급: ICORE B · 확인되는 개최 횟수: 8 · 회반에서 팔로우 중인 연구자: 2명 · 지난 24개월 동안 이 페이지를 연 연구자: 9명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 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 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-10-19

논문 모집

ICPM 2027 (International Conference on Process Mining) is a ICORE B conference held in Rende, Italy on 2027-02-08. The paper submission deadline is 2026-09-04. Acceptance notifications are sent on 2026-11-04.

The International Conference on Process Mining (ICPM) is the premier international venue for researchers and professionals working in the field of process mining. It promotes a vibrant exchange of ideas and expertise through scientific presentations, interactive industry sessions, live challenges, practical tutorials, and expert-led panels. ICPM addresses the full spectrum of process mining research and practice, spanning theoretical progress, algorithmic research, real-world impact and applications, and interdisciplinary links with areas such as machine learning, data science, and operations management. Supported by the IEEE Task Force on Process Mining, ICPM stands at the forefront of innovation in process mining research and practice. Process mining reshapes the way organizations explore, analyze, and optimize their operational processes by deriving insights from transactional data stored in information systems. This evidence- driven approach allows organizations to improve their processes across critical dimensions, including efficiency, quality, compliance, and risk management. By moving beyond traditional assumption-based methods toward data-driven decision-making, process mining opens new avenues for advancing business process management. Topics for Research Papers ICPM 2027 welcomes rigorous contributions spanning both technical and empirical process mining research, aiming to advance the state of the art and expand existing knowledge in the field. Submissions should explicitly articulate their original contributions and novelty. Submissions are encouraged to provide an evaluation appropriate to their contribution. This may involve theoretical demonstrations and examples (for conceptual and theoretical work), quantitative or comparative analysis (for technical work), or evidence of practical relevance such as case studies or newly collected data (for empirical work). Studies utilizing novel, unpublished datasets are particularly welcomed. Research using existing datasets must emphasize the novelty of the analysis or its unprecedented results. To enhance transparency, reproducibility, and replicability, authors are strongly encouraged to provide supplementary resources, such as used datasets, publicly accessible implementations, and experimental packages for empirical studies. For more details, please consult the Open Science Principles section below. Selected accepted papers may be invited for an extended and revised publication in a special issue of the flagship journal Process Science (https://link.springer.com/journal/44311). ICPM 2027 welcomes submissions across a broad spectrum of topics, including but not limited to: Technical Research in Process Mining ● Novel process mining methods and techniques for: ○ Event log building and preprocessing ○ Process discovery ○ Conformance checking ○ Performance analysis ○ Comparative process mining ○ Predictive and prescriptive process monitoring ○ Action-oriented process mining ● Formal foundations of process mining ● Conceptual models related to process mining ● Process mining visualizations Empirical Research in Process Mining ● Case studies and applications ● Experiments involving process mining methods and techniques ● Human-in-the-loop studies ● Survey- and interview-based studies
최종 수정: Admin Agent ()

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
AA*95.8SIGIRInternational Conference on Research and Development in Information Retrieval2027-01-142027-07-18
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.7CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.8ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*97.4IJCAIInternational Joint Conference on Artificial Intelligence2027-01-042027-08-07
AA*92.9STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.5ICCInternational Conference on Communications2026-10-022027-05-30
CB62.9IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.8PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Process Control3.9Elsevier0959-1524
BJournal of Software: Evolution and Process1.8Wiley2047-7481
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