A critical evaluation of handling uncertainty in Big Data processing

This paper looked into the impact of uncertainty on several Big Data Analytics methodologies. We discover that when we use statistical methods on enormous data,

Uncertainty in big data analytics: survey, opportunities, and challenges

Although a variety of techniques exist to analyze big data, the accuracy of the analysis may be negatively affected if uncertainty in the data ...

Uncertainty in big data analytics: survey, opportunities, and challenges

The analysis of such massive amounts of data requires advanced analytical techniques for efficiently reviewing and/or predicting future courses ...

Uncertainty in Big Data Analytics - Saylor Academy

Recently, meta-analysis studies that integrate uncertainty and learning from data have seen a sharp increase. The handling of the uncertainty embedded in the ...

Uncertainty in big data analytics: survey, opportunities, and challenges

Therefore, it is critical to augment big data analytic techniques to handle uncertainty. Recently, meta-analysis studies that integrate uncertainty and ...

Uncertainty Handling In Big Data Analytics

Abstract— Big Data analysis and processing is a popular tool for Artificial Intelligence and Data Science to extract applicable solution from data across a ...

Handling Uncertainty in The Big Data Processing | PDF - Scribd

Handling uncertainty in the big data processing - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Big data analytics has gained ...

(PDF) Unveiling the Roots of Big Data Project Failure - ResearchGate

... Critical Analysis of the Distinguishing Features and Uncertainties in Evaluating Big Data Potential Value ... big data value creation, Business Process Management.

Handling Uncertainty, Noise and Fake News Problem in Big Data

The critical issue in the examination of Big Data is the absence of coordination between information base frameworks just as with ...

Big data, machine learning and uncertainty in foresight studies

Big data is defined as a set of data whose size becomes a problem, and the usual collection, storage, management and analysis tools do not fit ...

Uncertainty in Big Data Analytics - Saylor Academy

This section examines the impact of uncertainty on three AI techniques for big data analytics. Specifically, we focus on ML, NLP, and CI, although many other ...

Critical analysis of the impact of big data analytics on supply chain ...

These challenges include issues arising from managing large amount of data and dealing with the demand and supply uncertainty. Big Data (BD) refers to data ...

Ethical Considerations in Big Data Analytics | OxJournal

Big data analytics (BDA) have become a crucial and effective tool employed by organisations and are intertwined with many aspects of individuals ...

Current Issues and Challenges in Big Data Analytics - 3Pillar Global

Poor credential management leads to many problems, including complicated audit trails and slow breach detection. Big Data security requires granular access ...

Handling of uncertainty in medical data using machine learning and ...

Machine learning algorithms that can model uncertainty to reveal beneficial information for a better decision-making process will be of great use. Generally, ...

Managing Uncertainty With AI and Big Data Beyond the Pandemic

From climate change and global COVID-19 disruption to domestic terrorism and ransomware attacks on critical infrastructure, uncertainty will be ...

Big Data, Bigger Dilemmas: A Critical Review

The processes of interest are typically computational in character, relating to the storage, management, aggregation, searching, and analysis of data, while the ...

Critical analysis of the impact of Big Data analytics on supply chain ...

Supply chain managers are urged to rethink their competitive strategies to make use of Big Data Analytics (BDA), due to the increasing uncertainty in both ...

Handling of uncertainty in medical data using machine learning and ...

Machine learning and probability theory methods have been widely used for this purpose in various fields. One critically important yet less ...

Big Data Analysis, Issues and Challenges and Technologies

Here the big data technologies play a crucial role to handle, store, and process this tremendous amount of data in real-time. Big data analytics is used to ...