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Apriori algorithm
Known as:
A priori algorithm
Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the…
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Related topics
13 relations
Association rule learning
Breadth-first search
Database
Entity–attribute–value model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Parallel TID-based frequent pattern mining algorithm on a PC Cluster and grid computing system
Kun-Ming Yu
,
Jiayi Zhou
Expert systems with applications
2010
Corpus ID: 26278371
Review
2008
Review
2008
Bootstrapping Both Product Features and Opinion Words from Chinese Customer Reviews with Cross-Inducing
Bo Wang
,
Houfeng Wang
International Joint Conference on Natural…
2008
Corpus ID: 17661253
We consider the problem of 1 identifying product features and opinion words in a unified process from Chinese customer reviews…
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2007
2007
Making Prudent vs. Impulsive Choices: The Role of Anticipated Shame and Guilt on Consumer Self-Control
Hae Eun Chun
,
V. Patrick
,
D. Macinnis
2007
Corpus ID: 740054
We examine the differential effects of anticipating shame vs. guilt on choice likelihood of a hedonic product. The results…
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Highly Cited
2007
Highly Cited
2007
The Research of Improved Apriori Algorithm for Mining Association Rules
Sheng Chai
,
Jia Yang
,
Yang Cheng
International Conference on Service Systems and…
2007
Corpus ID: 37841422
The efficiency of mining association rules is an important field of Knowledge Discovery in Databases. The Apriori algorithm is a…
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2006
2006
Flexible online association rule mining based on multidimensional pattern relations
Ching-Yao Wang
,
S. Tseng
,
Tzung-Pei Hong
Information Sciences
2006
Corpus ID: 11007004
Highly Cited
2006
Highly Cited
2006
Mining association rules with multi-dimensional constraints
Anthony J. T. Lee
,
Wan-chuen Lin
,
Chun-sheng Wang
Journal of Systems and Software
2006
Corpus ID: 7297631
Highly Cited
2005
Highly Cited
2005
Temporal Synchronization of Video Sequences in Theory and in Practice
A. Whitehead
,
R. Laganière
,
P. Bose
Volume 1
2005
Corpus ID: 12356775
In this work, we present a formalization of the video synchronization problem that exposes new variants of the problem that have…
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Highly Cited
2002
Highly Cited
2002
Mining association rules using inverted hashing and pruning
John D. Holt
,
S. M. Chung
Information Processing Letters
2002
Corpus ID: 43265256
Highly Cited
1991
Highly Cited
1991
Extrapolation and spectral estimation with iterative weighted norm modification
S. Cabrera
,
T. Parks
IEEE Transactions on Signal Processing
1991
Corpus ID: 5594591
An algorithm is developed to define, from the data samples themselves, a frequency-weighted norm to use in minimum-weighted-norm…
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1989
1989
Minimal Complexity Control Law Synthesis, Part 1: Problem Formulation and Reduction to Optimal Static Output Feedback
C. Nett
,
D. Bernstein
,
W. Haddad
American Control Conference
1989
Corpus ID: 41142576
The overall goal in this series of three papers is to make progress towards the development of a control law design methodology…
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