Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Outlier detection is commonly utilised in data mining to eliminate noise or detect meaningful knowledge.
Similar(59)
ComBat was not utilised in data used to generate scores.
Companies and the government should not engage in data mining.
Frequent pattern mining is an essential theme in data mining.
Discretization is a data reduction preprocessing technique in data mining.
Outlier mining is one of the main approaches used in data mining.
Sequential pattern and inter-transaction pattern mining have long been important issues in data mining research.
Association rule mining (ARM) is an important task in data mining with many practical applications.
Classification is an important task in data mining.
Trends and research frontiers in data mining are focused on.
We invented best practices in data mining and investigative techniques.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com