Error Analysis for Hybrid Estimates that use Big Data

Error Analysis for Hybrid Estimates that use Big Data - ISI

Hybrid estimates are one such example. To make decisions on how it might be used we need to understand the nature of the errors in the big data source. The ...

Error analysis for hybrid estimates of proportions using big data

The paper describes an Error Framework for the analysis of errors in big data and hybrid estimates.

Error analysis for hybrid estimates of proportions using big data

Third, when the big data is subject to measurement errors, instead of using the erroneous big data as benchmarks as in [4] for the hybrid estimate, we use a ...

Error analysis for hybrid estimates of proportions using big data1

The paper describes an Error Framework for the analysis of errors in big data and hybrid estimates. The paper also describes the circumstances under which ...

Error analysis for hybrid estimates of proportions using big data

The paper describes an Error Framework for the analysis of errors in big data and hybrid estimates. The paper also describes the circumstances under which ...

Total Error in a Big Data World: Adapting the TSE Framework to Big ...

45 Citations · Error analysis for hybrid estimates of proportions using big data1 · Quality framework for combining survey, administrative and big ...

Total Error in a Big Data World: Adapting the TSE Framework to Big ...

Nonetheless, given the Big Data nature of metered data, we borrow the terminology used by Amaya et al. (2020) to refer to some error components, ...

Total Error Frameworks for Found Data - Wiley Online Library

It also focuses on a related error framework that can be applied to the hybrid estimate produced from such a dataset. The chapter provides ...

An Innovative Big Data Predictive Analytics Framework over Hybrid ...

As a preview, in this paper, we use the framework to analyze weather data and web-search data to predict and forecast dengue cases as it is ...

An analysis on new hybrid parameter selection model performance ...

One of the issues is, analyzing large volumes and variety of data in a big data environment is very challenging to the data scientists when ...

Big Data Analytics for Fault Detection and its Application in ...

represent the uncertainty in the RUL estimates. ... Then, it uses the reconstruction error of the testing samples to depict their degree of outlierness.

Why Big Data Science & Data Analytics Projects Fail

85% of data science projects fail. Why? Learn these eight leading reasons and what you can do to beat the odds.

IPS 119 | ISI

Error Analysis for Hybrid Estimates that use Big Data. Dennis Trewin. IPS 119. Building robust approaches to data quality – learning from international ...

Accounting for Training Data Error in Machine Learning Applied to ...

TD errors can cause substantial errors in the maps created using ML algorithms, which may impact map use and interpretation. Despite these potential errors and ...

Predictive big data analytics for supply chain demand forecasting

The proposed model was then compared to back-propagation and linear regression approaches using three performance indices of MAPE, Mean Absolute ...

Smartic: A smart tool for Big Data analytics and IoT. - F1000Research

A hybrid model that integrates ML and sample-based statistical techniques for missing value imputation is being proposed. Furthermore, the ...

Hybrid design for sports data visualization using AI and big data ...

In sports data analysis and visualization, understanding collective tactical behavior has become an integral part. Interactive and automatic ...

The use of Big Data Analytics in healthcare - PMC

In recent years one can observe a constantly increasing demand for solutions offering effective analytical tools. This trend is also noticeable in the analysis ...

Big Data Analytics for Assessing Surface Transportation Systems

This dissertation presents a suite of applications, illustrated through case studies, that use CV data for assessing and managing mobility and safety on ...

AI-big data analytics for building automation and management ...

This paper presents a comprehensive systematic survey on using AI-big data analytics in BAMSs. It covers various AI-based tasks, eg load forecasting, water ...