Influence of Data Preprocessing
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Summary
It is concluded that using different preprocessing methods leads to different classification performances, and not all data pre processing methods are necessary, and a criterion is given to make sure which data preprocessing is necessary and which one is effective.
- Type
- article
- Published
- 2016-06-30
- Cited by
- 19
- References
- 3
- Access
- Open access
- OpenAlex
- https://openalex.org/W2482165163
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:33919178
Keywords
Preprocessor, Computer science, Data pre-processing, Classifier (UML), Data mining
References
Cited by
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- A Recommender Algorithm to Automatically Generate Metrics for GQM Models in Software Development
- A Horizontal Tuning Framework for Machine Learning Algorithms Using a Microservice-based Architecture
- An Adaptive Differential Evolution Algorithm Based on Data Preprocessing Method and a New Mutation Strategy to Solve Dynamic Economic Dispatch Considering Generator Constraints
- Anomaly detection of adversarial cyber attacks on electric vehicle charging stations
- Extrapolability of Machine Learning for Determining Additive Concentrations in Copper Electrolyte
- Assessing the Importance of Rain Gauge Stations through Network Theory
- A Review on IoT-Driven Technologies for Heart Disease Diagnosis and Prediction
- An adaptive differential evolution algorithm based on data preprocessing method to solve global optimization problem
- Methodology for Detecting Energy Anomalies due to Multi-Replay Attacks on Electric Vehicle Charging Infrastructure
- Data Pre-Processing Framework for Supervised Machine Learning
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- SoftSensorModelingMethodBasedonSPA-GWO-SVRforMarine Protease Fermentation Process
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