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KDnuggets 30th Anniversary Interview with Founder Gregory Piatetsky-Shapiro

KDnuggets

Gregory Piatetsky-Shapiro founded KDnuggets 30 years ago, after organizing early workshops on knowledge discovery. In this retrospective interview, he reflects on KDnuggets' growth, key innovations like deep learning, and concerns about AI's societal impact.

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GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies 

Ontotext

Buildings That Almost Think For Themselves About Their Occupants The first paper we are very excited to talk about is Knowledge Discovery Approach to Understand Occupant Experience in Cross-Domain Semantic Digital Twins by Alex Donkers, Bauke de Vries and Dujuan Yang.

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Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

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.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. Conference on Knowledge Discovery 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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