Skip to search formSkip to main contentSkip to account menu

Association rule learning

Known as: One-attribute rule, Rule discovery, OneR 
Association rule learning is a method for discovering interesting relations between variables in large databases. It is intended to identify strong… 
Wikipedia (opens in a new tab)

Related topics

Related topics

28 relations
Affinity analysisAnomaly detectionApriori algorithmBioinformatics

Broader (1)

Data mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Implementation of Data Mining Techniques for Meteorological Data Analysis (A case study for Gaza Strip)
Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available… 
2010
2010
Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations
Social book marking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In… 
2009
2009
An integrated model for next page access prediction
Accurate next web page prediction benefits many applications, e-business in particular. The most widely used techniques for this… 
2008
2008
MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008, Proceedings
Domain experts should provide relevant domain knowledge to an Intelligent Tutoring System (ITS) so that it can guide a learner… 
Highly Cited
2006
Highly Cited
2006
Applying Data Mining of Fuzzy Association Rules to Network Intrusion Detection
This paper describes the use of fuzzy logic in the implementation of an intelligent intrusion detection system. The system uses a… 
2004
2004
Essential classification rule sets
Given a class model built from a dataset including labeled data, classification assigns a new data object to the appropriate… 
Highly Cited
2003
Highly Cited
2003
Extracting association rules from XML documents using XQuery
Data mining is generally considered the extraction and analysis of information from databases. With the rapid growth of XML data… 
2002
2002
An Evolutionary Approach to Mining Robust Multi-Resolution Web Profiles and Context Sensitive URL Associations
We present a technique for simultaneously mining Web navigation patterns and maximally frequent context-sensitive itemsets (URL… 
2002
2002
A template model for multidimensional inter-transactional association rules
Abstract. Multidimensional inter-transactional association rules extend the traditional association rules to describe more… 
2001
2001
A FRAMEWORK FOR AN ADAPTIVE INTRUSION DETECTION SYSTEM WITH DATA MINING
The goal of a network-based intrusion detection system (IDS) is to identify patterns of known intrusions (misuse detection) or to… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)