Sentence examples for analytics useful from inspiring English sources

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Investigated is how such a methodology combined with design guidelines and a top-down approach can aid the creation of ready-to-use visualizations that help CM practitioners answer specific CM questions and support general CM analytics useful for a range of CM functions/tasks.

Speech music discrimination is a traditional task in audio analytics, useful for a wide range of applications, such as automatic speech recognition and radio broadcast monitoring, that focuses on segmenting audio streams and classifying each segment as either speech or music.

Similar(58)

Participants reported several areas in which the use of analytics is useful, including student learning, resource optimization, for monitoring and improving faculty performance, and resource appraisal and allocation.

Although in situ analytics are useful for decreasing the aforementioned gap, the cost of computation increases abruptly.

This amount of learning activity might be converted via analytics into useful information (Giannakos et al., 2015) for the benefit of all video learners.

Predictive analytics are useful to answer questions like "Why is this happening?

Recent work reveals that institutions of higher education are exploring different ways of using analytics to garner useful insights from data to guide planning, interventions, and better decision-making (Nunn, Avella, Kanai, & Kebritchi, 2016).

Making analytic software useful, usable, and adoptable in the context of the United States' national security community is a difficult challenge.

There were insufficient studies including hip extensor and hip flexor strength to make meta-analytic summaries useful for these muscle groups.

Addressing breakthrough innovation (characterized by the Design Quality Criteria Context, Social/human and Innovation,) Small Data analytics becomes more useful when used together with humans framing the opportunity and solving the challenge.

Machine learning can be used for several different software data analytics tasks, providing useful insights into software processes and products.

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