Scalable Data Profiling for Quality Analytics Extraction

A Nikolakopoulos, E Chondrogiannis… - … Conference on Artificial …, 2024 - Springer
In today's modern society, data play an integral role in the development global industry,
since they have become a valuable asset for companies, institutions, governments, and …

Big data quality framework: a holistic approach to continuous quality management

I Taleb, MA Serhani, C Bouhaddioui, R Dssouli - Journal of Big Data, 2021 - Springer
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …

Context-aware data quality assessment for big data

D Ardagna, C Cappiello, W Samá, M Vitali - Future Generation Computer …, 2018 - Elsevier
Big data changed the way in which we collect and analyze data. In particular, the amount of
available information is constantly growing and organizations rely more and more on data …

[PDF][PDF] A proposal methodological to Assure Quality using Data Profiling Techniques

C Guerra-García, HGP González… - … on ADVANCEs in ICT …, 2020 - researchgate.net
For any organization it is necessary to satisfy their business objectives besides using data to
implement organizational processes, for that reason, it is indispensable to have knowledge …

[PDF][PDF] Quality Mining: A Data Mining Based Method for Data Quality Evaluation.

SV Soler, D Yankelevich - IQ, 2001 - researchgate.net
The value of information depends directly on the quality of the data used. Decisions are no
better than the data on which they are based. How can organizations assess the quality of …

[PDF][PDF] An Explainable Machine Learning Approach for Automated Data Quality Assessment and Improvement Processes

C Cichy - 2022 - netlibrary.aau.at
The quality of data has a crucial impact on the success of a business. Since decisions are
often based on the data at hand, poor quality can lead to inadequate conclusions. Thus …

CLIQ: intelligent data qality management

H Hinrichs - 2000 - refubium.fu-berlin.de
The primary objective of this work is to develop a concept for a holistic data quality
management which is based on formal data quality metrics and a well–defined process …

New Directions for Data Quality Mining

L Berti-Équille, T Dasu - … on Knowledge Discovery and Data Mining …, 2009 - inria.hal.science
As data types and data structures change to keep up with evolving technologies and
applications, data quality problems too have evolved and become more complex. Data …

[PDF][PDF] MODULAR DATA ANALYTICS AS A TOOL FOR CITIZEN DATA SCIENTISTS IN QUALITY MANAGEMENT

S Pähler, M Syberg, J Deuse - files.osf.io
The vision of Industrial Data Science to link data along the entire value chain with data from
the product life cycle contains great potential for holistic quality improvements. In order to be …

Analysis of data quality issues in real-world industrial data

T Hubauer, S Lamparter, M Roshchin… - … Conference of the …, 2013 - papers.phmsociety.org
In large industries usage of advanced technological methods and modern equipment comes
with the problem of storing, interpreting and analyzing huge amount of information. Handling …