Organizing all TSTAT studies for data, ML models for classifiers of TCP anomalies and designing better TCP designs for Science
CLASSIFIERS:
- Decision tree classifer
- k means classifier
DATA SETS:
- Indis_2019: Data used for INDIS paper "G. Papadimitriou, M. Kiran, C. Wang, A. Mandal and E. Deelman, "Training Classifiers to Identify TCP Signatures in Scientific Workflows," 2019 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), 2019, pp. 61-68, doi: 10.1109/INDIS49552.2019.00012."
ML models:
- isolation forest
- decision tree
- k means analysis and silhoutte calculations
General analysis:
- tSNE analysis
- SHAP analysis