Table 8 Comparision with most important researches in route prediction
From: Distributed Context Tree Weighting (CTW) for route prediction
Authors | Method for prediction | Horizontal scalability | Rate |
|---|---|---|---|
Proposed CTW Route Prediction | Context Tree Weighting (CTW) | Yes | 40–90% |
Simmons et al. (2006) [37] | Hidden Markov Model | No | 70–80% |
Burbey et al. (2008) [38] | Prediction by Partial Match (PPM) | No | 92% |
Tiwari et al. (2012) [39] | Closest Match Algorithm | No | 40% |
Lung et al. (2014) [40] | Hidden Markov Model | No | 68.3% |
Neto et al. (2015) [41] | Prediction by Partial Match (PPM) | No | 46% |
Amirat et al. (2017) [42] | Graph Mining | No | 76% |
Froehlich et al. (2008) [3] | Closest match | No | 40–90% |
Tiwari et al. (2017) [43] | Probabilistic Suffix Tree | Yes | 85 |