The biennial International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) aims to bring together scientists working on various methods for the management of uncertainty in intelligent systems. This conference provides a medium for the exchange of ideas between theoreticians and practitioners using different methods to address the important issue of
big data
Tsinghua University (THU)
Tsinghua University (THU or Tsinghua; Chinese: 清华大学), formerly known as National Tsing Hua University1) (Chinese: 國立清華大學), Tsing Hua College (Chinese: 清华学校), and Tsing Hua Imperial College (Chinese: 清华学堂), offers the following Knowledge Management education and training
International Conference on Transition from Observation to Knowledge to Intelligence (TOKI)**
The biennial International Conference on Transition from Observation to Knowledge to Intelligence (TOKI) is a forum that aims to demonstrate new systems and techniques in knowledge management, competitive intelligence, big data, semantic web, Internet of Things resource management, web mining, natural language processing, interoperable and adaptive information systems, data science, etc. Language:
Colloque International du Chapitre Maghreb de l’International Society for Knowledge Organization (Colloque International ISKO-Maghreb)*
- Part of the Multi-Conference on “Organization of Knowledge and Advanced Technologies / Organisation des Connaissances et Technologies Avancées”
Internationale Tagung Wirtschaftsinformatik (WI)*
- Tracks of interest: Data Science & Business Analytics (TBC)