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Association rule learning
Known as:
One-attribute rule
, Rule discovery
, OneR
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Association rule learning is a method for discovering interesting relations between variables in large databases. It is intended to identify strong…
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Related topics
Related topics
28 relations
Affinity analysis
Anomaly detection
Apriori algorithm
Bioinformatics
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Broader (1)
Data mining
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents
Sobhan Sarkar
,
Ankit Lohani
,
J. Maiti
International Conference on Computational…
2017
Corpus ID: 67290263
Occupational accident is a grave issue for any industry. Therefore, proper analysis of accident data should be carried out to…
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2013
2013
A Hybrid Web Recommendation System based on the Improved Association Rule Mining Algorithm
Ujwala Wanaskar
,
Sheetal Vij
,
Debajyoti Mukhopadhyay
arXiv.org
2013
Corpus ID: 5623972
As the growing interest of web recommendation systems those are applied to deliver customized data for their users, we started…
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Review
2012
Review
2012
A Study on Association Rule Hiding Approaches
Komal Shah
,
Amit Thakkar
,
A. Ganatra
2012
Corpus ID: 12229506
In recent years, data mining is a popular analysis tool to extract knowledge from collection of large amount of data. One of the…
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2011
2011
Implementation of Data Mining Techniques for Meteorological Data Analysis (A case study for Gaza Strip)
S. Kohail
,
A. El-Halees
2011
Corpus ID: 18695939
Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available…
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2010
2010
Analyzing Association Rule Mining and Clustering on Sales Day Data with XLMiner and Weka
A. Khattak
,
A. Khan
,
Sungyoung Lee
,
Youngku Lee
2010
Corpus ID: 17716851
In the era of intense competition among organizations, retaining a customer is a collaborative process. Business organizations…
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Highly Cited
2006
Highly Cited
2006
Applying Data Mining of Fuzzy Association Rules to Network Intrusion Detection
A. El-Semary
,
Janica Edmonds
,
Jesús González-Pino
,
Mauricio Papa
IEEE Information Assurance Workshop
2006
Corpus ID: 6233286
This paper describes the use of fuzzy logic in the implementation of an intelligent intrusion detection system. The system uses a…
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2004
2004
Essential classification rule sets
Elena Baralis
,
S. Chiusano
TODS
2004
Corpus ID: 18941944
Given a class model built from a dataset including labeled data, classification assigns a new data object to the appropriate…
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Highly Cited
2003
Highly Cited
2003
Extracting association rules from XML documents using XQuery
Jacky W. W. Wan
,
G. Dobbie
ACM International Workshop on Web Information and…
2003
Corpus ID: 18398880
Data mining is generally considered the extraction and analysis of information from databases. With the rapid growth of XML data…
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2002
2002
An Evolutionary Approach to Mining Robust Multi-Resolution Web Profiles and Context Sensitive URL Associations
O. Nasraoui
,
R. Krishnapuram
International Journal of Computational…
2002
Corpus ID: 18957123
We present a technique for simultaneously mining Web navigation patterns and maximally frequent context-sensitive itemsets (URL…
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2001
2001
A FRAMEWORK FOR AN ADAPTIVE INTRUSION DETECTION SYSTEM WITH DATA MINING
Mahmood Hossain
,
S. Bridges
2001
Corpus ID: 14629170
The goal of a network-based intrusion detection system (IDS) is to identify patterns of known intrusions (misuse detection) or to…
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