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Artificial Intelligence Applications and Innovations 14th IFIP WG 12.5 International Conference, AIAI 2018 Rhodes, Greece, May 25–27, 2018 |
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Conference papers
Iliou Machine Learning Data Preprocessing Method for Stress Level Prediction
Abstract :
Data pre-processing is an important step in the data mining process. Data preparation and filtering steps can take considerable amount of processing time. Data pre-processing includes cleaning, normalization, transformation, feature extraction and selection. In this paper, Iliou and PCA data preprocessing methods evaluated in a data set of 103 students, aged 18–25, who were experiencing anxiety problems. The performance of Iliou and PCA data preprocessing methods was evaluated using the 10-fold cross validation method assessing seven classification algorithms, IB1, J48, Random Forest, MLP, SMO, JRip and FURIA, respectively. The classification results indicate that Iliou data preprocessing algorithm consistently and substantially outperforms PCA data preprocessing method, achieving 98.6% against 92.2% classification performance, respectively.
Cited literature [34 references]
https://hal.inria.fr/hal-01821068
Contributor : Hal Ifip <>
Submitted on : Friday, June 22, 2018 - 11:45:50 AM
Last modification on : Friday, August 9, 2019 - 4:14:27 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 2:33:04 PM
Contributor : Hal Ifip <>
Submitted on : Friday, June 22, 2018 - 11:45:50 AM
Last modification on : Friday, August 9, 2019 - 4:14:27 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 2:33:04 PM
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