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Titlebook: Innovations in Intelligent Machines-4; Recent Advances in K Colette Faucher,Lakhmi C. Jain Book 2014 Springer International Publishing Swit

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31#
發(fā)表于 2025-3-26 21:25:21 | 只看該作者
Building a Schistosomiasis Process Ontology for an Epidemiological Monitoring Systems is built to support communication and collaborative work between domain experts along the monitoring steps. The domain ontology also supports data and application integration and allows some reasoning capabilities. On the other hand, a . of the schistosomiasis spreading is built for explanations a
32#
發(fā)表于 2025-3-27 01:57:33 | 只看該作者
A Context-Centered Architecture for Intelligent Assistant Systemsd (2) deal with the decision-making process and not the result only. Considering experts’ experience instead of domain knowledge supposes to have a uniform representation of elements of knowledge, reasoning and contexts. We propose Contextual Graphs (CxG) as such a formalism of representation. A con
33#
發(fā)表于 2025-3-27 05:23:54 | 只看該作者
34#
發(fā)表于 2025-3-27 12:15:43 | 只看該作者
Integrating Knowledge Engineering with Knowledge Discovery in Database: TOM4D and TOM4Ldata flow coming from a concrete process. On the other hand, data mining techniques in a process of Knowledge Discovery in Databases (KDD) can be used in order to obtain representative patterns of data which could allow to improve the model to be constructed. However, interpreting these patterns is
35#
發(fā)表于 2025-3-27 14:16:06 | 只看該作者
A CDSS Supporting Clinical Guidelines Integrated and Interoperable Within the Clinical Information Sesigned, able to consider the available knowledge about the patient’s health stored within the CIS (Clinical Information System), using the CIS native, well-trained functions and ergonomics. Amongst the main methods used, figure rule based decision trees to represent the CG knowledge, concept dictio
36#
發(fā)表于 2025-3-27 18:55:59 | 只看該作者
Applying Semantics and Data Interoperability Principles for Cloud Management Systemsthinking if current information systems are optimally designed for managing such amount of information. If the answer is no, then what are the best practices to make more efficient the managing operations of data in those knowledge-based systems? As consequence of the generation of big quantities of
37#
發(fā)表于 2025-3-28 00:16:07 | 只看該作者
38#
發(fā)表于 2025-3-28 03:14:30 | 只看該作者
39#
發(fā)表于 2025-3-28 10:09:51 | 只看該作者
40#
發(fā)表于 2025-3-28 11:26:27 | 只看該作者
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