Información de la conferencia

BDET 2022: International Conference on Big Data Engineering and Technology

Por favor Iniciar sesión para ver el sitio web de la conferencia
Cuenta gratuita: consulta los sitios oficiales, sigue las fechas límite y recibe recordatorios por correo.
Día de Entrega:
2022-01-15 Extendido
Fecha de Notificación:
2022-02-10
Fecha de conferencia:
2022-04-22
Ubicación:
Singapore
Ediciones:
4
Vistas: 17496   Seguidores: 9   Asistentes: 1
Insertar insignia de cuenta atrás
BDET
Obtener estos datos por API
Las búsquedas y las listas de rankings no necesitan credenciales; el detalle completo de esta página requiere una clave de API gratuita. Consulta la guía para desarrolladores.

Índice Conference Partner (CP-I)

43,0 / 100
Puesto n.º 3.804 de 5.695 congresos · 67% superior

N.º 222 de 336 en Minería de datos y bases de datos

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
43
Atención de la comunidad (10%)
30
Integridad del registro público (15%)
25

Datos utilizados: Ediciones documentadas: 4 · Investigadores que lo siguen aquí: 9 · Investigadores que abrieron esta página en los últimos 24 meses: 2

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
Los organizadores pueden añadirlo desde esta página tras reclamar el congreso; las puntuaciones se recalculan cada noche. Cómo subir esta puntuación

Confianza 45 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-10-10

Solicitud de Artículos

BDET 2022 (International Conference on Big Data Engineering and Technology) is an academic conference held in Singapore on 2022-04-22. The paper submission deadline is 2022-01-15 (extended). Acceptance notifications are sent on 2022-02-10.

The conference is soliciting state-of-the-art research papers in the following areas of interest but not limited to: - Big Data novel theory, algorithm and applications - Big Data standards - Big Data Infrastructure, MapReduce and Cloud Computing - Big Data visualization - Big Data curation and management - Big Data semantics, scientific discovery and intelligence - Big Data performance analysis and large-scale deployment - Security, privacy, trust, and legal issues to big data - Big Data vs Big Business and Big Industry - Large data stream processing on cloud - NoSQL data stores and DB scalability - Big Data placement, scheduling, and optimization - Distributed file systems for Big Data - MapReduce for Big Data processing, resource scheduling and SLA - Performance characterization, evaluation and optimization - Simulation and debugging systems and tools for MapReduce and Big Data - Volume, Velocity, Variety, Value and Veracity of Big Data - Multiple source data processing and integration with MapReduce - Storage and computation management of Big Data - Large-scale big data workflow management - Mobility and big data - Sensor network, social network and big data - Data Visualization and Visual Analytics - Big Data Algorithms, Applications and Services - Big Data Mining and Analytics - Big Data Processing and Querying - Algorithmic, experimental, prototyping and implementation - 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 Recruitment We invite you to submit a paper for BDET 2020 International Meeting and join us for a premier conference in this vibrant city. We invite submissions in all areas of the BDET field, broadly defined. We will continue to accept abstracts after the deadline for as long as space is available. We encourage you to submit early. The Committees of BDET 2020 invest great efforts in reviewing the papers submitted to the conference and organising the sessions to enable the participants to gain maximum benefit. If you are interested in reviewing the papers, please send your latest CV to conference secretary via [email protected].
Última actualización por Dou Sun el

Conferencias Relacionadas

CCFICORECP-IAbreviaciónNombre CompletoEntregaFecha de conferencia
39,8Big DataInternational Conference on Big Data2014-04-302014-08-04
C56,7DATAInternational Conference on Data Science, Technology and Applications2027-03-252027-07-19
43,4IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-04-04
AA*95,6SIGIRInternational Conference on Research and Development in Information Retrieval2027-01-142027-07-18
AA*97,8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94,5CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89,7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94,2IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92,7STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87,5ICCInternational Conference on Communications2026-10-022027-05-30

Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
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

Comentarios 0

Aún no hay comentarios.

Por favor Iniciar sesión para publicar un comentario