Exploring the Trie of Rules: a fast data structure for the representation of association rules

1 code implementation • 26 Oct 2023 • Mikhail Kudriavtsev, Marija Bezbradica, Andrew McCarren

This paper proposes a novel data structure, called the Trie of rules, for storing a ruleset that is generated by association rule mining.

Constructing a meta-learner for unsupervised anomaly detection

no code implementations • 22 Apr 2023 • Małgorzata Gutowska, Suzanne Little, Andrew McCarren

Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools.

AutoML Meta-Learning +1

Fact or Factitious? Contextualized Opinion Spam Detection

1 code implementation • ACL 2019 • Stefan Kennedy, Niall Walsh, Kirils Sloka, Jennifer Foster, Andrew McCarren

In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews.

BIG-bench Machine Learning Spam detection