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SSTD 2025: International Symposium on Spatial and Temporal Databases

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투고 마감일:
2025-04-27
통보일:
2025-07-01
개최일:
2025-08-25
개최지:
Osaka, Japan
개최 횟수:
19
CCF: C   ICORE: B   QUALIS: B1   조회: 52871   팔로우: 36   참가: 8
마감 카운트다운 배지 삽입
SSTD
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회반 지수 (CP-I)

63.4 / 100
전체 5,695개 중 498위 · 상위 9%

데이터 마이닝·데이터베이스 분야 336개 중 24위

학술적 인정 (35%)
78
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
81
커뮤니티 관심도 (10%)
47
공개 자료 충실도 (15%)
35

사용한 입력: 수록 등급: CCF C, ICORE B, QUALIS B1 · 확인되는 개최 횟수: 19 · 회반에서 팔로우 중인 연구자: 36명 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

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 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-10

논문 모집

SSTD 2025 (International Symposium on Spatial and Temporal Databases) is a CCF C / ICORE B / QUALIS B1 conference held in Osaka, Japan on 2025-08-25. The paper submission deadline is 2025-04-27. Acceptance notifications are sent on 2025-07-01.

Scope The 19th International Symposium on Spatial and Temporal Data (SSTD) expands its scope beyond traditional databases to embrace the broader and rapidly evolving landscape of spatial and temporal data. While previous editions focused on foundational database systems and techniques, this year’s symposium welcomes research that addresses the full spectrum of challenges and innovations in managing, analyzing, and leveraging spatial and temporal data. We invite contributions spanning data management, analytics, mining, machine learning, visualization, and real-world applications across diverse domains, reflecting the growing significance of spatial and temporal data in today’s data-driven world. This expanded scope aims to foster interdisciplinary discussions and accommodate emerging trends where spatial and temporal data intersect with cutting-edge technologies. Topics of Interest Topics of interest include, but are not limited to, the following in the context of spatial, temporal, and spatio-temporal data. Spatial Foundations Spatial and temporal data models, representations, and standards Computational geometry algorithms Theoretical frameworks and complexity analysis Spatial approximation, sampling, and compression strategies Topological, geometric, and semantic relationships Spatial Data Mining, Machine Learning, and Analytics Foundation models and LLMs for spatial data Data warehousing and decision support Pattern recognition, clustering, and outlier detection Predictive modeling and forecasting Integration of deep learning and Geo-AI techniques Recommender systems Spatial Statistical Analysis Spatial autocorrelation and regression models Spatial point process analysis Geostatistical methods Bayesian models Analysis of spatial heterogeneity Spatio-temporal statistical methods Data Management and Storage Data types and query languages Database design and conceptual modeling Storage and retrieval techniques Access methods and indexing Query processing and optimization Distributed and cloud-based architectures Stream processing and real-time indexing Moving objects applications Methods for data integration and harmonization Spatial Networks and Graphs Transportation and mobility analytics Network modeling and route optimization Graph-based techniques Sensor networks Geographic Information Retrieval (GIR) Spatially-aware search engines Geotagging and geographic text analysis Location-based information retrieval Integration of spatial and textual data Ontologies and taxonomies Semantic analysis of geographic entities Spatial-keyword search Visualization and Interaction Novel visualization techniques Human-computer interaction AR/VR environments and immersive visualizations Quality, Uncertainty, Fairness and Privacy Data quality assessment and cleaning Handling uncertainty and incomplete data Privacy-preserving methods Data bias, fairness, transparency Applications and Emerging Domains Location-based services and social networks Experiments and performance evaluation Smart cities and urban planning Public health and emergency management IoT-based sensor networks Computer vision for spatial data Crowdsourcing and user-generated content Indoor spaces and mobility Spatial quantum modeling New hardware platforms
최종 수정: Dou Sun ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Spatial Statistics2.5Elsevier2211-6753
Journal of Spatial Information ScienceNCGIA1948-660X
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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