A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams

A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams

This paper introduces a new and expressive algorithm for inducing descriptive rule-sets from streaming data in real-time in order to describe frequent patterns explicitly encoded in the stream. Data Stream Mining (DSM) is concerned with the automatic analysis of data streams in real-time. Rapid flow...

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Bibliographic Details
Main Authors: Frederic Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Information
Subjects:
data stream mining
generalised rule induction
concept drift
Online Access:https://www.mdpi.com/2078-2489/12/1/24

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