Sentence examples for data analytics models from inspiring English sources

This paper introduces a set of data analytics models and methods that can be profitably used for decision making in general, and, specifically, in maintenance engineering.

The book is broadly divided into four parts on Graphics: Looking at Data, Analytics: Modeling Data, Computation: Mining Data and Applications: Using Data.

The objective of this paper is to present big data analytics modeling in the metal cutting industry.

To address this challenge, the authors have proposed a novel integrated data analytics model by combining two powerful evolutionary techniques, Gene Expression Programming and Adaptive Neuro-Fuzzy Inference system.

Most recently, the National Water Center at NOAA had created a ground-breaking big data analytics model over the months before Hurricane Harvey hit to predict streamflow in streams, rivers, and other channels across the entire continental US given rainfall across the entire network.

When reviewing multiple data analytic models, we found that Apache Hadoop can provide a good starting point for mobile distributed analytics since it supports cost-effective and high performance analysis of a large volume of unstructured data on a set of commodity hardware.

As any attempt to extract a causal relationship from observational data, MSM requires certain untestable assumptions: in addition to standard assumptions that the data analytic models (for selection bias and for the causal effect) were correctly specified, we have to assume that the model for selection bias accounts for all potential confounders (there are no unmeasured confounders).

Bayesian methods are based on Bayes theorem (see below; Bayes theorem in Probability) providing tremendous flexibility for data analytic models and yield rich information about parameters that can be used cumulatively across progressive experiments being special useful when it is known some qualities from the data before (allowing to build a prior distribution).

However, covariate misclassification often biases parameter estimates for data-analytic models.

Data analytics and models of transactions data.

An assessment of the sufficiency of developmental test and evaluation plans, including the use of automated data analytics or modeling and simulation tools and methodologies.