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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.
2012
2012
Comparative Analysis of Apriori Algorithm and Frequent Pattern Algorithm for Frequent Pattern Mining in Web Log Data
Rahul Mishra
,
Abha Choubey
2012
Corpus ID: 158471
The growth and popularity of the internet has increased the growth of web marketing. Extracting usage patterns deals with the…
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2008
2008
Semantics, Web and Mining
M. Ackermann
,
B. Berendt
,
+7 authors
M. van Someren
2008
Corpus ID: 63513884
2006
2006
A Proposal of Fuzzy Multidimensional Association Rules
Rolly Intan
2006
Corpus ID: 52225088
: Association rules that involve two or more dimensions or predicates can be referred as multidimensional association rules…
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2006
2006
Parallelizing Frequent Itemset Mining with FP-Trees
Pei-Yi Tang
,
Markus P. Turkia
International Conference on Computers and Their…
2006
Corpus ID: 15750596
A new scheme to parallelize frequent itemset mining algorithms is proposed. By using the extended conditional databases and k…
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2005
2005
Study of Some Key Techniques in Mining Association Rule
Geng Chen
,
Yu-Quan Zhu
,
He-Biao Yang
,
Jie-Ping Lu
,
Yu-Qing Song
,
Zhi-Hui Sun
2005
Corpus ID: 62609058
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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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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2002
2002
A Framework for Enforcing Privacy in Mining Frequent Patterns
Stanley R. M. Oliveira
,
Osmar R Zaiane
2002
Corpus ID: 17606174
Discovering hidden patterns from large amounts of data plays an important role in marketing, business, medical analysis, and…
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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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2001
2001
Application of Matrix Clustering to Web Log Analysis and Access Prediction
S. Oyanagi
,
Kazuto Kubota
,
A. Nakase
2001
Corpus ID: 17074599
Matrix clustering is a new data mining method which extracts a dense sub-matrix from a large sparse binary matrix. We propose an…
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