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Keywords
(2)
Association Rule
Fast Algorithm
Related Publications
(443)
Mining association rules between sets of items in large databases
Mining frequent patterns without candidate generation
Mining Sequential Patterns
An Effective Hash Based Algorithm for Mining Association Rules
Fast Discovery of Association Rules
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Fast Algorithms for Mining Association Rules
Fast Algorithms for Mining Association Rules,Rakesh Agrawal,Ramakrishnan Srikant
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Fast Algorithms for Mining Association Rules
(
Citations: 4575
)
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Rakesh Agrawal
,
Ramakrishnan Srikant
Conference:
Very Large Data Bases - VLDB
, 1994
ISBN:
1-55860-153-8
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Citation Context
(2700)
...We have also experimented extensively with a second algorithm: Frequent Itemset Mining (FIM) [
2
]...
Antony Rowstron
,
et al.
Nobody ever got fired for using Hadoop on a cluster
...To improve computational efficiency, we leverage the discriminative pattern mining framework (DPM, originally proposed
...
Gang Fang
,
et al.
High-Order SNP Combinations Associated with Complex Diseases: Efficien...
...describes the process by which a group of genes (rows) coherent within a group of conditions (columns) is identified. However, exhaustively evaluating all possible biclusters in a dataset is an NP-hard problem
...
Jiyuan An
,
et al.
Seed-Based Biclustering of Gene Expression Data
...In doing this, they use the well-known Apriori algorithm introduced by Agrawal and Srikant (
1994
)...
Soumyaroop Mitra
,
et al.
A fuzzy hill-climbing algorithm for the development of a compact assoc...
...Association rules analysis finds all the rules that meet two key thresholds: minimum support and minimum confidence
16
...
Pannapa Changpetch
,
et al.
Model selection for logistic regression via association rules analysis
References
(34)
An Interval Classifier for Database Mining Applications
(
Citations: 195
)
Rakesh Agrawal
,
Sakti P. Ghosh
,
Tomasz Imielinski
,
Balakrishna R. Iyer
,
Arun N. Swami
Conference:
Very Large Data Bases - VLDB
, pp. 560-573, 1992
Knowledge Discovery in Databases: An Attribute-Oriented Approach
(
Citations: 236
)
Jiawei Han
,
Yandong Cai
,
Nick Cercone
Conference:
Very Large Data Bases - VLDB
, pp. 547-559, 1992
Practitioner problems in need of database research: Re-search directions in knowledge discovery
(
Citations: 10
)
R. Krishnamurthy
,
T. Imielinski
Journal:
Sigmod Record
, 1991
AutoClass: A Bayesian Classification System
(
Citations: 269
)
Peter Cheeseman
,
James Kelly
,
Matthew Self
,
John Stutz
,
Will Taylor
,
Don Freeman
Conference:
International Conference on Machine Learning - ICML
, pp. 54-64, 1988
Knowledge Mining by Imprecise Querying: A Classification-Based Approach
(
Citations: 48
)
Tarek M. Anwar
,
Howard W. Beck
,
Shamkant B. Navathe
Conference:
International Conference on Data Engineering - ICDE
, pp. 622-630, 1992
Sort by:
Citations
(4575)
An inductive database system based on virtual mining views
(
Citations: 2
)
Hendrik Blockeel
,
Toon Calders
,
Élisa Fromont
,
Bart Goethals
,
Adriana Prado
,
Céline Robardet
Journal:
Data Mining and Knowledge Discovery - DATAMINE
, vol. 24, no. 1, pp. 1-41, 2012
Nobody ever got fired for using Hadoop on a cluster
Antony Rowstron
,
Dushyanth Narayanan
,
Austin Donnelly
,
Greg O'Shea
,
Andrew Douglas
Published in 2012.
High-Order SNP Combinations Associated with Complex Diseases: Efficient Discovery, Statistical Power and Functional Interactions
Gang Fang
,
Majda Haznadar
,
Wen Wang
,
Haoyu Yu
,
Michael Steinbach
,
Timothy R. Church
,
William S. Oetting
,
Brian Van Ness
,
Vipin Kumar
Journal:
PLOS One
, vol. 7, no. 4, 2012
Seed-Based Biclustering of Gene Expression Data
Jiyuan An
,
Alan Wee-Chung Liew
,
Colleen C. Nelson
Journal:
PLOS One
, vol. 7, no. 8, 2012
A fuzzy hill-climbing algorithm for the development of a compact associative classifier
Soumyaroop Mitra
,
Sarah S. Lam
Journal:
International Journal of General Systems - INT J GEN SYSTEM
, vol. ahead-of-p, no. ahead-of-p, pp. 1-27, 2012