Watch this recorded webinar on time series labeling and learn:
Moreover, we invite you to download Visplore Free and try labeling your time series data.
Watch recorded webinar and see Visplore in action
All Visplore versions feature powerful interactive tools for data labeling. These tools will help you to select and label time series data without worrying about complex parameters.
Different existing data labels can easily be audited and cleared at any time
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Labeling rules can be applied to new data and patterns can easily be searched within seconds.
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The quality of input data is one of the most important factors in AI, machine learning, and data mining.
Building high-quality predictive models requires data which truly and comprehensively reflects the phenomenon that should be modelled or mined. AI algorithms typically do not detect implausible data on their own, but rely on the quality of data preselection and the quality of their labels. For predictive maintenance, for example, it may be necessary to label data from industrial processes as “good”, “critical”, “anomalous”, and so on, before building classification models. In practice, however, selection and labeling of data can be very time-consuming, difficult to address by scripted logic, and may require many iterations with domain experts.
Visplore reduces those challenges to a minimum – and saves you valuable time while improving the labeling results.
To get started with data labeling read our step-by-step guide!
