2018
DOI: 10.1007/978-3-030-00847-5_1
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Towards Conceptual Models for Machine Learning Computations

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Cited by 7 publications
(4 citation statements)
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“…However, none of them consider dependencies among semantic data and how to represent them. Some other works propose conceptual models for data mining patterns [2,4,7,13,15,16]. On compared to our proposal, these works do not necessarily focus on trajectories, or represent trajectories as only spatio-temporal points or sequences of stops and moves, not including complex aspects, or considering a single semantic point of view.…”
Section: Related Workmentioning
confidence: 99%
“…However, none of them consider dependencies among semantic data and how to represent them. Some other works propose conceptual models for data mining patterns [2,4,7,13,15,16]. On compared to our proposal, these works do not necessarily focus on trajectories, or represent trajectories as only spatio-temporal points or sequences of stops and moves, not including complex aspects, or considering a single semantic point of view.…”
Section: Related Workmentioning
confidence: 99%
“…Although there exist many diverse types of learning tasks [36], the development process of ML-based systems has an intrinsic iterative multi-stage nature [37]. Figure 1 shows our reference ML life-cycle, starting from requirements analysis and ending with the ML model's maintenance in response to changes.…”
Section: Ml-based Application Life-cycle and Related At-risk Assetsmentioning
confidence: 99%
“…Although there exist many diverse types of learning tasks [27], the development process of ML-based systems has an intrinsic iterative multi-stage nature [28]. Fig.…”
Section: Ml-based Application Life-cyclementioning
confidence: 99%