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Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets
Intelligent Data Engineering and Automated Learning - IDEAL 2007 - Lecture Notes in Computer Science
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10.1007/978-3-540-77226-2_53
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2007
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pp. 517-526
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Cited By ~ 1
Author(s):
S. M. Fakhrahmad
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M. Zolghadri Jahromi
◽
M. H. Sadreddini
Keyword(s):
Large Data
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Sparse Data
◽
Frequent Itemsets
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Data Sets
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Data Warehouses
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Novel Approach
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Sparse Data Sets
◽
Mining Frequent Itemsets
Download Full-text
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References
Inversion for source parameters from sparse data sets: Test of the method and application to the 1951 (M=6.9) Kona, Hawaii, earthquake
Journal of Geophysical Research Atmospheres
◽
10.1029/94jb00651
◽
1994
◽
Vol 99
(B10)
◽
pp. 19661-19678
◽
Cited By ~ 11
Author(s):
Martin Beisser
◽
Dominique Gillard
◽
Max Wyss
Keyword(s):
Source Parameters
◽
Sparse Data
◽
Data Sets
◽
Sparse Data Sets
Download Full-text
Evaluating parameters for ligand-based modeling with random forest on sparse data sets
Journal of Cheminformatics
◽
10.1186/s13321-018-0304-9
◽
2018
◽
Vol 10
(1)
◽
Cited By ~ 11
Author(s):
Alexander Kensert
◽
Jonathan Alvarsson
◽
Ulf Norinder
◽
Ola Spjuth
Keyword(s):
Random Forest
◽
Sparse Data
◽
Data Sets
◽
Sparse Data Sets
Download Full-text
Global Event Location with Full and Sparse Data Sets Using Three-dimensional Models of Mantle P-wave Velocity
Monitoring the Comprehensive Nuclear-Test-Ban Treaty: Sourse Location
◽
10.1007/978-3-0348-8250-7_18
◽
2001
◽
pp. 291-317
◽
Cited By ~ 4
Author(s):
Mchael Antolik
◽
Göran Ekström
◽
Adam M. Dziewonski
Keyword(s):
Wave Velocity
◽
Three Dimensional
◽
Sparse Data
◽
P Wave
◽
Data Sets
◽
Global Event
◽
P Wave Velocity
◽
Event Location
◽
Three Dimensional Models
◽
Sparse Data Sets
Download Full-text
The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics
IEEE Transactions on Knowledge and Data Engineering
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10.1109/tkde.2016.2545664
◽
2016
◽
Vol 28
(7)
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pp. 1905-1918
◽
Cited By ~ 17
Author(s):
Carlos Ordonez
◽
Yiqun Zhang
◽
Wellington Cabrera
Keyword(s):
Big Data
◽
Data Analytics
◽
Big Data Analytics
◽
Sparse Data
◽
Data Sets
◽
Sparse Data Sets
Download Full-text
Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments
Web-Age Information Management - Lecture Notes in Computer Science
◽
10.1007/978-3-642-38562-9_5
◽
2013
◽
pp. 51-57
◽
Cited By ~ 6
Author(s):
Juan J. Cameron
◽
Alfredo Cuzzocrea
◽
Fan Jiang
◽
Carson K. Leung
Keyword(s):
Data Streams
◽
Sparse Data
◽
Frequent Itemsets
◽
Limited Memory
◽
Mining Frequent Itemsets
Download Full-text
Retrieving robust noise-based seismic velocity changes from sparse data sets: synthetic tests and application to Klyuchevskoy volcanic group (Kamchatka)
Geophysical Journal International
◽
10.1093/gji/ggy190
◽
2018
◽
Cited By ~ 1
Author(s):
C Gómez-García
◽
F Brenguier
◽
P Boué
◽
N M Shapiro
◽
D V Droznin
◽
...
Keyword(s):
Seismic Velocity
◽
Sparse Data
◽
Data Sets
◽
Volcanic Group
◽
Seismic Velocity Changes
◽
Velocity Changes
◽
Sparse Data Sets
Download Full-text
An Advanced Group Contribution Method for High-Dimensional, Sparse Data Sets
Molecular Informatics
◽
10.1002/minf.201100111
◽
2011
◽
Vol 31
(1)
◽
pp. 41-52
◽
Cited By ~ 2
Author(s):
Chang Jun Lee
◽
Jong Min Lee
Keyword(s):
Sparse Data
◽
Group Contribution
◽
High Dimensional
◽
Data Sets
◽
Group Contribution Method
◽
Sparse Data Sets
Download Full-text
Classical, Generalizability, and Multifaceted Rasch Detection of Interrater Variability in Large, Sparse Data Sets
The Journal of Experimental Education
◽
10.1080/00220970009598501
◽
2000
◽
Vol 68
(2)
◽
pp. 167-190
◽
Cited By ~ 10
Author(s):
Peter D. Macmillan
Keyword(s):
Sparse Data
◽
Data Sets
◽
Interrater Variability
◽
Sparse Data Sets
Download Full-text
An improved locally linear embedding for sparse data sets
2010 IEEE International Conference on Image Processing
◽
10.1109/icip.2010.5651452
◽
2010
◽
Cited By ~ 1
Author(s):
Ying Wen
◽
Zhenyu Zhou
◽
Xunheng Wang
◽
Yudong Zhang
◽
Renhua Wu
Keyword(s):
Sparse Data
◽
Locally Linear Embedding
◽
Data Sets
◽
Linear Embedding
◽
Sparse Data Sets
◽
Locally Linear
Download Full-text
Determination of robust ocular pharmacokinetic parameters in serum and vitreous humor of albino rabbits following systemic administration of ciprofloxacin from sparse data sets by using IT2S, a population pharmacokinetic modeling program
Antimicrobial Agents and Chemotherapy
◽
10.1128/aac.39.8.1683
◽
1995
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Vol 39
(8)
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pp. 1683-1687
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Cited By ~ 23
Author(s):
G. L. Drusano
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W. Liu
◽
R. Perkins
◽
A. Madu
◽
C. Madu
◽
...
Keyword(s):
Sparse Data
◽
Vitreous Humor
◽
Systemic Administration
◽
Pharmacokinetic Parameters
◽
Population Pharmacokinetic
◽
Data Sets
◽
Population Pharmacokinetic Modeling
◽
Ocular Pharmacokinetic
◽
Sparse Data Sets
Download Full-text
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