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A COMPARATIVE STUDY OF STRUCTURED VERSUS UNSTRUCTURED TEXT DATA
A Comparison of Model Checking Tools for Service Oriented Architectures
A REVIEW AND ANALYSIS OF BOT-IOT SECURITY DATA FOR MACHINE LEARNING
A review of the stability of feature selection techniques for bioinformatics data
ADDRESSING HIGHLY IMBALANCED BIG DATA CHALLENGES FOR MEDICARE FRAUD DETECTION
Alleviating class imbalance using data sampling: Examining the effects on classification algorithms
An Empirical Study of Ordinal and Non-ordinal Classification Algorithms for Intrusion Detection in WLANs
An Empirical Study of Performance Metrics for Classifier Evaluation in Machine Learning
An Empirical Study of Random Forests for Mining Imbalanced Data
An Evaluation of Deep Learning with Class Imbalanced Big Data
An evaluation of machine learning algorithms for tweet sentiment analysis
An evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program
An Exploration into Synthetic Data and Generative Aversarial Networks
Analysis of machine learning algorithms on bioinformatics data of varying quality
Big Data Analytics and Engineering for Medicare Fraud Detection
CBR-based software quality models and quality of data
Choosing software reliability models
Classification of software quality using Bayesian belief networks
Classification of software quality using tree modeling with the S-Plus algorithm
Classification of software quality using tree modeling with the SPRINT/SLIQ algorithm

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