logo

06 de septiembre - 06 de septiembre de 2026

Clasificación: B (CORE2023)Offline

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Actualizado: 22 days ago
0.0 (0 Calificaciones)
Hong Kong, ChinaNo publisher

Aún no hay seguidores.

Resumen General

About PAKDD PAKDD is a prestigious and highly selective conference that includes high-profile keynote and invited talks as well as refereed full research papers. It provides an international peer-reviewed forum for researchers and industry practitioners who are addressing the problems to share their new ideas, original research results, and practical development experiences from all KDD-related areas, including data science, data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and emerging applications. Everyone new to the field has many opportunities to learn about cutting-edge research by attending visionary keynote speeches, paper presentations, tutorials, and workshops.

Convocatoria

About PAKDD PAKDD is a prestigious and highly selective conference that includes high-profile keynote and invited talks as well as refereed full research papers. It provides an international peer-reviewed forum for researchers and industry practitioners who are addressing the problems to share their new ideas, original research results, and practical development experiences from all KDD-related areas, including data science, data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and emerging applications. Everyone new to the field has many opportunities to learn about cutting-edge research by attending visionary keynote speeches, paper presentations, tutorials, and workshops.

Fechas Importantes

Fechas del Congreso

Conference Date

6 de septiembre de 2026

Anteriormente:
  • 9 de junio de 2026
  • 9 de junio de 2026 - 12 de junio de 2026

Clasificación de la Fuente

Fuente: CORE2023

Clasificación: B

Campo de Investigación: Data management and data science

Mapa

Loading feedback section...