Filed in: knowledge discovery

BCS SGAI International Conference on Artificial Intelligence (AI)

Knowledge Management conferences| Knowledge Management education & training worldwide

The BCS SGAI International Conference on Artificial Intelligence (AI), formerly the BCS SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI), the BCS SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES) and the BCS SGES Expert Systems Conference (ES), is the annual conference of the Britih Computer Society’s

International Symposium on Knowledge Acquisition and Modeling (KAM)**

Knowledge Management conferences| Knowledge Management education & training worldwide

The International Symposium on Knowledge Acquisition and Modeling (KAM) is concerned with the aspects of Intelligent Information Processing, acquiring, modeling, managing and exploiting knowledge, and the role of these aspects in the construction of knowledge-intensive systems and Intelligent Information services. It provides a chance for academic and industry professionals to discuss recent progress in the

European Conference on Artificial Intelligence (ECAI)*

Knowledge Management conferences| Knowledge Management education & training worldwide
  • Workshops: 5th International Workshop on Knowledge Discovery in Healthcare Data; Machine Learning for Data Streams; Safe Machine Learning — SafeML; 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2020); Knowledge Representation & Representation Learning (KR4L); Tutorials: Knowledge Graph Embeddings: From Theory to Practice; Practical Uses of Existential Rules in Knowledge Representation; Referring Expressions in Knowledge Representation System;…

InfoSys*

Knowledge Management conferences| Knowledge Management education & training worldwide
  • Co-located: International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA); Knowledge-based user interface (KUI) track