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Table 9 Comparison of proposed method with non statistical method

From: Mining precise cause and effect rules in large time series data of socio-economic indicators

Dataset Indicators relationships Extracted rules Non-statistical methods
Proposed method Silverstein et al. (2000) Jin et al. (2012) Li et al. (2013)
Synthetic-1 (I1–I6) Binary I1 → I3
Many to one (I2, I4) → I5  
Transitive I1 → I3 → I6   
Cyclic I1 ←→ I3    
Synthetic-2 (I1–I10) Binary I1 → I7, I2 → I7, I7 → I2, I1 → I3, I7 → I8
Many to one (I6, I9) → I7  
Transitive I1 → I7 → I8   
Cyclic I2 ←→ I7    
WTO Binary Chemicals → Textiles
Chemicals → OTE
Many to one (OTE, Textiles) → EDOE  
Transitive IS → OM → ICEC   
Cyclic OM ←→ IS    
IMF Binary GGR → VEG
Many to one (GGR, GNS) → TI  
Transitive GDP → VIG → TI   
Cyclic CAB ←→ VEGS    
World Bank data Binary CP → ARME
Many to one (FDI, FR) → CPI   
Transitive AR → AG → CO2   
Cyclic GDP ←→ CY