Article | REF: H3701 V1

Detection and correction of data quality problems with machine learning

Author: Laure BERTI-ÉQUILLE

Publication date: May 10, 2023

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

3. Conclusion

Data cleaning and preparation aimed at improving data quality are widely regarded as an essential prerequisite for the application of machine learning techniques, as errors in the data directly impact the performance of predictive models and the validity of their results. Traditionally, research-based solutions for data cleansing have focused on correcting quality problems "in the abstract", sometimes independently of the application using the data. In an industrial context, the application of data cleansing techniques is often determined by the need to reduce the costs associated with poor-quality data, or to gain in performance, based on measurable indicators (KPIs - Key Performance Indicators). Since the rise of artificial intelligence and the democratization of the application of learning methods, data cleansing is now associated with the stage of transforming and preparing data so that...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Software technologies and System architectures

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Conclusion