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ICBK 2018: IEEE International Conference on Big Knowledge

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ICBK
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Día de Entrega:
2018-06-20
Fecha de Notificación:
2018-08-20
Fecha de conferencia:
2018-11-17
Ubicación:
Singapore
Vistas: 21110   Seguidores: 2   Asistentes: 0

Índice Conference Partner (CP-I)

43,1 / 100
Puesto n.º 3.659 de 5.655 congresos · 65% superior
Evidencia limitada: este congreso no figura en CCF / ICORE / QUALIS y no consta su tasa de aceptación, así que la mayor parte de la puntuación recae en la línea base neutra.
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%) Sin datos: se puntúa con la línea base neutra de 50 —
Atención de la comunidad (10%)
19
Integridad del registro público (15%)
25

Datos utilizados: Investigadores que lo siguen aquí: 2 · 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)
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Confianza 25 %: 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 2026-09-09

Solicitud de Artículos

ICBK 2018 (IEEE International Conference on Big Knowledge) is an academic conference held in Singapore on 2018-11-17. The paper submission deadline is 2018-06-20. Acceptance notifications are sent on 2018-08-20.

Aims and Scope Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications. ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Big Knowledge problems, the conference seeks to continuously advance the state-of-the-art in Big Knowledge. Accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards will be conferred at the conference on the authors of the best paper and the best student paper. A selected number of best papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems Journal. Topics of Interest Topics of interest include, but are not limited to: Foundations, algorithms, models, and theory of big knowledge processing. Knowledge engineering with big data. Machine learning, data mining, and statistical methods for big knowledge science and engineering. Acquisition, representation and evolution of fragmented knowledge. Fragmented knowledge modeling and online learning. Knowledge graphs and knowledge map. Topology and fusion on fragmented knowledge. Visualization, personalization, and recommendation of big knowledge navigation and interaction. Big knowledge systems and platforms, and their efficiency, scalability, and privacy. Applications and services of big knowledge in all domains including web, medicine, education, healthcare, and business. Big Health Care Decision Making Crowdsourcing Data-driven Granular Cognitive Computing Deep Learning Edge Computing in Medical Analyticsg Graph Mining Intelligent Computing for Big Knowledge Network and Knowledge Graph Representation Learning Rule and Relationship Discovery Safe Data Analytics Submission Guidelines Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee on the basis of technical quality, relevance to Big Knowledge, originality, significance, and clarity. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks. Manuscripts must be submitted electronically in online submission system. We do not accept email submissions.
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