Información de la conferencia

DATA 2027: International Conference on Data Science, Technology and Applications

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Día de Entrega:
2027-03-25 Faltan 164 días
Fecha de Notificación:
2027-05-17
Fecha de conferencia:
2027-07-19
Ubicación:
Rome, Italy
Ediciones:
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ICORE: C   Vistas: 18710   Seguidores: 5   Asistentes: 0
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Índice Conference Partner (CP-I)

56,7 / 100
Puesto n.º 758 de 5.697 congresos · 14% superior

N.º 38 de 336 en Minería de datos y bases de datos

Reconocimiento académico (35%)
58
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
76
Atención de la comunidad (10%)
29
Integridad del registro público (15%)
55

Datos utilizados: Categorías: ICORE C · Ediciones documentadas: 16 · Investigadores que lo siguen aquí: 5 · Investigadores que abrieron esta página en los últimos 24 meses: 4

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

DATA 2027 (International Conference on Data Science, Technology and Applications) is a ICORE C conference held in Rome, Italy on 2027-07-19. The paper submission deadline is 2027-03-25. Acceptance notifications are sent on 2027-05-17.

SCOPE The purpose of the International Conference on Data Science, Technology and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data. Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Accepted papers, presented at the conference by one of the authors, will be published in the conference proceedings. Acceptance will be based on quality, relevance and originality. Both full research papers and work-in-progress are welcome. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as demos or tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. DATA SCIENCE & MACHINE LEARNING 2. DATABASES & DATA MANAGEMENT 3. DATA ENGINEERING, INFRASTRUCTURE AND BUSINESS APPLICATIONS 4. DATA ANALYTICS & VISUALIZATION 5. DATA PRIVACY & SECURITY, ETHICS & GOVERNANCE 6. DATA IN INDUSTRY AND EMERGING TRENDS IN DATA AREA 1: DATA SCIENCE & MACHINE LEARNING Advanced Machine Learning Algorithms Natural Language Processing Machine Learning for Large Datasets Computer Vision Explainable AI AutoML & Hyperparameter Tuning Time Series Analysis Predictive Modeling Pattern Recognition Data Mining Techniques AREA 2: DATABASES & DATA MANAGEMENT Relational vs. NoSQL Databases Database Scalability & Performance Tuning Distributed Databases & Sharding Database Security & Access Control SQL vs. NewSQL: Choosing the Right Database Graph Databases & Complex Network Analysis Database Migration & Integration Strategies AREA 3: DATA ENGINEERING, INFRASTRUCTURE AND BUSINESS APPLICATIONS Data Pipelines & ETL Real-Time Data Processing Cloud Data Infrastructure Big Data Technologies Data Governance & Quality Business Intelligence Open Data and Linked Data Data Fusion Social Web Search and Mining AREA 4: DATA ANALYTICS & VISUALIZATION Advanced Data Analytics Statistics and Exploratory Data Analysis Unstructured Data Analytics Data Storytelling Dashboards & BI Tools Geospatial Analytics Interactive Data Visualization AREA 5: DATA PRIVACY & SECURITY, ETHICS & GOVERNANCE Threat Detection & Prevention Data Governance Frameworks Bias in Data Data Ownership & Control Data Sovereignty AREA 6: DATA IN INDUSTRY AND EMERGING TRENDS IN DATA Data in Finance, Healthcare, Retail & E-commerce, Manufacturing, Marketing Data-Driven Innovation Scalability & Performance Collaborative Data Science Data for Crisis Management Quantum Computing & Data Edge Computing & Data Synthetic Data Digital Twins
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