Reference health

Classification of BGP anomalies using decision trees and fuzzy rough sets

https://doi.org/10.1109/smc.2014.6974096
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24/24 checkable references clean · checked 2026-07-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 24 checked references that resolve
resolves10.1109/TFUZZ.2004.841734
On the generalization of fuzzy rough sets
resolves10.1016/S0165-0114(01)00032-X
A comparative study of fuzzy rough sets
resolves10.1109/TFUZZ.2011.2181180
On Robust Fuzzy Rough Set Models
resolves10.1016/S0165-0114(97)00104-8
Axiomatics for fuzzy rough sets
resolves10.1016/j.neucom.2012.08.010
Weighted extreme learning machine for imbalance learning
resolves10.1016/j.neucom.2011.06.020
Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique
resolves10.1145/1007730.1007733
Editorial
resolves10.1109/72.991432
Fuzzy support vector machines
resolves10.1109/ICSMC.2000.886455
Distributed denial of service attacks
resolves10.1109/TSMCC.2004.843247
Top-Down Induction of Decision Trees Classifiers—A Survey
resolves10.1145/1096536.1096542
An internet routing forensics framework for discovering rules of abnormal BGP events
resolves10.1007/BF00116251
Induction of decision trees
resolves10.1016/S0019-9958(65)90241-X
Fuzzy sets
resolves10.1016/j.neucom.2005.12.126
Extreme learning machine: Theory and applications
resolves10.1007/BF01001956
Rough sets
resolves10.1109/TC.2009.91
An Online Mechanism for BGP Instability Detection and Analysis
resolves10.1016/j.neucom.2010.02.019
Optimization method based extreme learning machine for classification
resolves10.1109/HPSR.2012.6260835
Machine learning models for classification of BGP anomalies
resolves10.5120/6280-8449
On the Classification of Imbalanced Datasets
resolves10.1016/B978-1-55860-335-6.50023-4
Irrelevant Features and the Subset Selection Problem
resolves10.1109/TFUZZ.2008.924342
Improving Generalization of Fuzzy IF--THEN Rules by Maximizing Fuzzy Entropy
resolves10.1109/ICMLC.2012.6358901
Feature selection for classification of BGP anomalies using Bayesian models
resolves10.1007/BF00058655
Bagging predictors
resolves10.1109/TKDE.2011.67
Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction
The 12 references without a DOI — listed, not checked
no DOI — not checkedref36
no DOI — not checkedref10
no DOI — not checkedref11
no DOI — not checkedMulti-threaded routing toolkit (MRT) border gateway protocol (BGP) routing information export format with geo-location extensions
no DOI — not checkedref13
no DOI — not checkedref14
no DOI — not checkedref15
no DOI — not checkedA Border Gateway Protocol 4 (BGP-4)
no DOI — not checkedWeighted support vector machine for data classification
no DOI — not checkedref28
no DOI — not checkedDistributed denial of service attacks
no DOI — not checkedMachine learning approaches to network anomaly detection
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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