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Rare Class Mining: Progress and Prospect
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/978-1-4020-6268-1_38openalex-snapshot
A Novel Approach For Mining Emerging Patterns In Rare-Class Datasets
inferredcites →https://doi.org/10.1007/978-1-4471-2099-5_1openalex-snapshot
A Sequential Algorithm for Training Text Classifiers
inferredcites →https://doi.org/10.1007/978-3-540-24775-3_27openalex-snapshot
The Application of Emerging Patterns for Improving the Quality of Rare-Class Classification
inferredcites →https://doi.org/10.1007/978-3-540-39804-2_12openalex-snapshot
SMOTEBoost: Improving Prediction of the Minority Class in Boosting
inferredcites →https://doi.org/10.1007/978-3-540-71701-0_126openalex-snapshot
Online Rare Events Detection
inferredcites →https://doi.org/10.1016/j.sigpro.2003.07.018openalex-snapshot
Novelty detection: a review—part 1: statistical approaches
inferredcites →https://doi.org/10.1023/a:1007452223027openalex-snapshot
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
inferredcites →https://doi.org/10.1109/34.946990openalex-snapshot
Event detection and analysis from video streams
inferredcites →https://doi.org/10.1109/cvpr.2004.1315249openalex-snapshot
Detecting unusual activity in video
inferredcites →https://doi.org/10.1109/icdm.2001.989527openalex-snapshot
Evaluating boosting algorithms to classify rare classes: comparison and improvements
inferredcites →https://doi.org/10.1109/icdm.2002.1184018openalex-snapshot
On evaluating performance of classifiers for rare classes
inferredcites →https://doi.org/10.1109/icdm.2004.10058openalex-snapshot
Using Emerging Patterns and Decision Trees in Rare-Class Classification
inferredcites →https://doi.org/10.1109/icdm.2005.34openalex-snapshot
Bias Analysis in Text Classification for Highly Skewed Data
inferredcites →https://doi.org/10.1109/icdm.2006.29openalex-snapshot
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
inferredcites →https://doi.org/10.1109/icmla.2007.64openalex-snapshot
Estimating class probabilities in random forests
inferredcites →https://doi.org/10.1109/icmla.2007.76openalex-snapshot
Learning with limited minority class data
inferredcites →https://doi.org/10.1109/ictai.2007.130openalex-snapshot
A Metaheuristic Controller for Cooperative Manipulators
inferredcites →https://doi.org/10.1109/ictai.2007.71openalex-snapshot
Mining Data with Rare Events: A Case Study
inferredcites →https://doi.org/10.1109/tsmcb.2008.2007853openalex-snapshot
Exploratory Undersampling for Class-Imbalance Learning
inferredcites →https://doi.org/10.1137/1.9781611972795.14openalex-snapshot
Prior-Free Rare Category Detection
inferredcites →https://doi.org/10.1145/1281192.1281279openalex-snapshot
Local decomposition for rare class analysis
inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot
Efficient mining of emerging patterns
inferredcites →https://doi.org/10.1145/382912.382914openalex-snapshot
A framework for constructing features and models for intrusion detection systems
inferredcites →https://doi.org/10.1184/r1/6607640openalex-snapshot
Nearest-Neighbor-Based Active Learning for Rare Category Detection
inferredcites →https://doi.org/10.1184/r1/6608792openalex-snapshot
Rare Class Discovery Based on Active Learning
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.4135/9781412973380.n22openalex-snapshot
An Introduction to Data Mining
inferredcites →https://doi.org/10.5555/188490.188495openalex-snapshot
A sequential algorithm for training text classifiers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Evaluation of Rare Event Detection
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Predicting Rare Classes of Primary Tumors with Over-Sampling Techniques
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A Measure Oriented Training Scheme for Imbalanced Classification Problems
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Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry
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Measure oriented training: a targeted approach to imbalanced classification problems
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inferred← citeshttps://doi.org/10.1016/j.knosys.2015.04.021openalex-snapshot
Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.12.063openalex-snapshot
Supervised or unsupervised learning? Investigating the role of pattern recognition assumptions in the success of binary predictive prescriptions
inferred← citeshttps://doi.org/10.1109/iccct.2011.6075185openalex-snapshot
SkewBoost: An algorithm for classifying imbalanced datasets
inferred← citeshttps://doi.org/10.1109/iscmi.2018.8703244openalex-snapshot
An Analysis of Several Machine Learning Algorithms for Imbalanced Classes
inferred← citeshttps://doi.org/10.1109/jbhi.2013.2244902openalex-snapshot
Classification Tree for Risk Assessment in Patients Suffering From Congestive Heart Failure via Long-Term Heart Rate Variability
inferred← citeshttps://doi.org/10.1109/seaa.2014.51openalex-snapshot
Towards an Improvement of Bug Severity Classification
inferred← citeshttps://doi.org/10.1201/b12986-34openalex-snapshot
Mining Emerging Patterns for Activity Recognition
inferred← citeshttps://doi.org/10.3390/v12020142openalex-snapshot
Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State
inferred← citeshttps://doi.org/10.4018/978-1-5225-3142-5.ch021openalex-snapshot
Visualization of Predictive Modeling for Big Data Using Various Approaches When There Are Rare Events at Differing Levels
inferred← citeshttps://doi.org/10.4018/ijfc.2018070103openalex-snapshot
Predictive Modeling for Imbalanced Big Data in SAS Enterprise Miner and R
inferred← citeshttps://doi.org/10.5121/ijdkp.2015.5201openalex-snapshot
A Review on Evaluation Metrics for Data Classification Evaluations
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