This data stored across multiple cloud environments, on-premises systems and SaaS applications has overwhelmed traditional classification methods.

Nearest neighbour classification techniques, particularly the k‐nearest neighbour (kNN) algorithm, have long been valued for their simplicity and effectiveness in pattern recognition and data ...

There are many machine learning classification techniques. Common techniques include logistic regression, neural network classification, naive Bayes classification, decision tree classification, ...

Narayanaswarmy suggests that accurate data classification is an essential foundation for best practices in data protection, but today it is essentially still a very manual and time-intensive task ...

A new review published in Artificial Intelligence and Autonomous Systems（AIAS） highlights how artificial intelligence can ...

You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data. We look at data classification and how AI can help ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

A new AI review outlines 2025 strategies to fix missing traffic data in smart cities using structure- and learning-based ...