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Citation(s) in
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6
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For:
Celik M
.
Partial spatio-temporal co-occurrence pattern mining.
Knowl Inf Syst
2014. [DOI:
10.1007/s10115-014-0750-2
]
[
Citation(s) in
RCA
: 22
]
[
Impact Index Per Article: 2.2
]
[
Reference Citation Analysis
]
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[Indexed: 11/24/2022]
Number
Cited by Other Article(s)
1
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics.
DATA KNOWL ENG
2023. [DOI:
10.1016/j.datak.2023.102153
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
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]
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[Indexed: 03/09/2023]
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2
A graph based approach for mining significant places in trajectory data.
Inf Sci (N Y)
2022. [DOI:
10.1016/j.ins.2022.07.046
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.5
]
[
Reference Citation Analysis
]
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[Indexed: 11/22/2022]
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3
On a clustering-based mining approach with labeled semantics for significant place discovery.
Inf Sci (N Y)
2021. [DOI:
10.1016/j.ins.2021.07.050
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 1.7
]
[
Reference Citation Analysis
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[Indexed: 11/21/2022]
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4
Efficiently mining maximal co-locations in a spatial continuous field under directed road networks.
Inf Sci (N Y)
2021. [DOI:
10.1016/j.ins.2020.06.057
]
[
Citation(s) in
RCA
: 7
]
[
Impact Index Per Article: 2.3
]
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[Indexed: 11/23/2022]
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5
Yang L
, Wang L. Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns.
EVOLUTIONARY INTELLIGENCE
2019. [DOI:
10.1007/s12065-019-00332-4
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.2
]
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[Indexed: 10/25/2022]
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6
Fournier-Viger P
, Cheng C, Cheng Z, Lin JCW, Selmaoui-Folcher N. Mining significant trend sequences in dynamic attributed graphs.
Knowl Based Syst
2019. [DOI:
10.1016/j.knosys.2019.06.005
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 1.0
]
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[Indexed: 10/26/2022]
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