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Gregory Piatetsky-Shapiro founded KDnuggets 30 years ago, after organizing early workshops on knowledgediscovery. In this retrospective interview, he reflects on KDnuggets' growth, key innovations like deep learning, and concerns about AI's societal impact.
Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding. The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. There is diversity in terms of its implementation as well. Maximize the usability of your data.
Buildings That Almost Think For Themselves About Their Occupants The first paper we are very excited to talk about is KnowledgeDiscovery Approach to Understand Occupant Experience in Cross-Domain Semantic Digital Twins by Alex Donkers, Bauke de Vries and Dujuan Yang.
In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. Conference on KnowledgeDiscovery and Data Mining, pp. References. Maria Fox, Derek Long, and Daniele Magazzeni. Explainable planning. International Joint Conferences on Artificial Intelligence, Inc. Ribeiro, M.
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