Sentence examples for analytics task from inspiring English sources

It allowed users to visually connect different groups of data or activities and updates in different visualizations for a visual analytics task, particularly using color-coded search keywords.

For example, following learning representations and patterns from the unlabeled/unsupervised data, the available labeled/supervised data can be exploited to further tune and improve the learnt representations and patterns for a specific analytics task, including semantic indexing or discriminative modeling.

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

Map-Reduce-based runtime environments provide good performance on cloud architectures above all on data analytics tasks working on large data collections.

Our contribution is to propose and develop a recommendation framework, NPVModel, which suggests the best possible business practice for analytics tasks or strategy.

From 2011 to 2013, the IEEE VAST challenges committee created three cyber-network visual analytics tasks [[25]] to simulate the complex nature of cyber security.

In the prior section, we discussed some advantages of using Deep Learning in Big Data analysis including the application of Deep Learning algorithms for Big Data analysis and how specific characteristics of Big Data can lead to some challenges in adopting Deep Learning algorithms for Big Data analytics tasks.

In this paper, we design, implement and evaluate the InSTechAH: A big data-oriented cost-effective cluster autoscaling and scheduling scheme in private cloud, which improves the resource utilization as well as to maintain required quality of services by autoscaling and scheduling background smart computing analytics tasks.

Now, I'm using Python and Google Sheets with a dose of HTML, CSS, JavaScript, and WordPress to solve client analytics tasks.

Later, however, we will see that for many games this condition does not apply, and then our analytic task is less straightforward.

More efficient generic graph processing frameworks, like the subgraph-centric model [33, 35], are emerging to accelerate the graph analytic task.