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Citation(s) in
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14
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For:
Li X
, Zhao H, Zhu W.
A cost sensitive decision tree algorithm with two adaptive mechanisms.
Knowl Based Syst
2015. [DOI:
10.1016/j.knosys.2015.08.012
]
[
Citation(s) in
RCA
: 24
]
[
Impact Index Per Article: 2.4
]
[
Reference Citation Analysis
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[Indexed: 11/26/2022]
Number
Cited by Other Article(s)
1
Costa VG
, Pedreira CE. Recent advances in decision trees: an updated survey.
Artif Intell Rev
2022. [DOI:
10.1007/s10462-022-10275-5
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
Reference Citation Analysis
]
[
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]
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[Indexed: 11/30/2022]
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2
A cost-sensitive Imprecise Credal Decision Tree based on nonparametric predictive inference.
Appl Soft Comput
2022. [DOI:
10.1016/j.asoc.2022.108916
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
Reference Citation Analysis
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[Indexed: 11/22/2022]
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3
Cost-sensitive sample shifting in feature space.
Pattern Anal Appl
2020. [DOI:
10.1007/s10044-020-00890-9
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.2
]
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[Indexed: 11/26/2022]
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4
PRF-RW: a progressive random forest-based random walk approach for interactive semi-automated pulmonary lobes segmentation.
INT J MACH LEARN CYB
2020. [DOI:
10.1007/s13042-020-01111-9
]
[
Citation(s) in
RCA
: 3
]
[
Impact Index Per Article: 0.6
]
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[Indexed: 10/24/2022]
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5
Xiao J
, Zhou X, Zhong Y, Xie L, Gu X, Liu D. Cost-sensitive semi-supervised selective ensemble model for customer credit scoring.
Knowl Based Syst
2020. [DOI:
10.1016/j.knosys.2019.105118
]
[
Citation(s) in
RCA
: 17
]
[
Impact Index Per Article: 3.4
]
[
Reference Citation Analysis
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[Indexed: 10/25/2022]
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6
Wu CC
, Chen YL, Tang K. Cost-sensitive decision tree with multiple resource constraints.
APPL INTELL
2019. [DOI:
10.1007/s10489-019-01464-x
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 0.8
]
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Reference Citation Analysis
]
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[Indexed: 11/30/2022]
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7
Liu H
, Chen SM. Multi-stage mixed rule learning approach for advancing performance of rule-based classification.
Inf Sci (N Y)
2019. [DOI:
10.1016/j.ins.2019.05.008
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.2
]
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Reference Citation Analysis
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[Indexed: 10/26/2022]
Abstract
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8
Heuristic target class selection for advancing performance of coverage-based rule learning.
Inf Sci (N Y)
2019. [DOI:
10.1016/j.ins.2018.12.001
]
[
Citation(s) in
RCA
: 8
]
[
Impact Index Per Article: 1.3
]
[
Reference Citation Analysis
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[Indexed: 11/22/2022]
Abstract
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9
Cost-sensitive SVDD models based on a sample selection approach.
APPL INTELL
2018. [DOI:
10.1007/s10489-018-1187-1
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.6
]
[
Reference Citation Analysis
]
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[Indexed: 11/26/2022]
Abstract
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10
Granular computing-based approach of rule learning for binary classification.
GRANULAR COMPUTING
2018. [DOI:
10.1007/s41066-018-0097-2
]
[
Citation(s) in
RCA
: 13
]
[
Impact Index Per Article: 1.9
]
[
Reference Citation Analysis
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[Indexed: 10/17/2022]
Abstract
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11
Induction of classification rules by Gini-index based rule generation.
Inf Sci (N Y)
2018. [DOI:
10.1016/j.ins.2018.01.025
]
[
Citation(s) in
RCA
: 22
]
[
Impact Index Per Article: 3.1
]
[
Reference Citation Analysis
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[Indexed: 11/18/2022]
Abstract
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12
A multi-view OVA model based on decision tree for multi-classification tasks.
Knowl Based Syst
2017. [DOI:
10.1016/j.knosys.2017.10.004
]
[
Citation(s) in
RCA
: 18
]
[
Impact Index Per Article: 2.3
]
[
Reference Citation Analysis
]
[
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[Indexed: 11/24/2022]
Abstract
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13
A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification.
Knowl Based Syst
2017. [DOI:
10.1016/j.knosys.2016.12.021
]
[
Citation(s) in
RCA
: 25
]
[
Impact Index Per Article: 3.1
]
[
Reference Citation Analysis
]
[
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[Indexed: 11/24/2022]
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14
Zhao H
, Li X. A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism.
Inf Sci (N Y)
2017. [DOI:
10.1016/j.ins.2016.09.054
]
[
Citation(s) in
RCA
: 33
]
[
Impact Index Per Article: 4.1
]
[
Reference Citation Analysis
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[Indexed: 11/28/2022]
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