Titlebook: Database and Expert Systems Applications; 35th International C Christine Strauss,Toshiyuki Amagasa,Ismail Khalil Conference proceedings 202

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Bryant A. Toth M.D.,Bryan G. Forley M.D.. time, where . is the number of intervals, so it is not scalable to large .. We solve this inefficiency issue and propose an algorithm that runs in . time. Furthermore, we propose an . algorithm to further accelerate the search efficiency.

参考书目

https://doi.org/10.1007/978-3-031-68309-1mobile computing; knowledge management; big data; expert systems; digital libraries; data mining; database

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Ricki Nusser-Müller-Busch,Barbara Elferichspects of hallucination, misinformation and outdated knowledge. Retrieval-Augmented Generation (RAG) addresses these challenges by pre-retrieving pertinent information from external knowledge bases prior to utilizing LLMs for answering queries. Although RAG has been empirically validated to enhance

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Militia

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Das Konzept der Finite-Element-Methode,dex-based subgraph search method that is as fast as the current state-of-the-art technique. The proposed method is an extension of CodeTree, which is a supergraph search method that uses neither enumeration nor graph mining. The extended . treats graphs as graph codes and uses the prefix tree for th

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