Fig 1.
Experimental framework.
Table 1.
Example of processing GPS data into movement sequence.
Table 2.
The movement descriptors and threshold assignment values.
Table 3.
Classification algorithms parameter settings.
Table 4.
Jaccard similarity scores of extracted movement patterns per algorithm.
Fig 2.
Overlapped movement patterns between the most frequent-50 LCCspm and LCS patterns.
Fig 3.
Overlapped movement patterns between the most frequent-50 AprioriClose and LCCspm patterns.
Fig 4.
Overlapped movement patterns between the most frequent-50 LCS and AprioriClose patterns.
Fig 5.
LCCspm and LCS overlap movement patterns performed by hookers.
Fig 6.
LCCspm and LCS overlap movement patterns performed by wingers.
Fig 7.
LCCspm overlapped movement patterns as performed by hookers.
Fig 8.
LCCspm overlapped movement patterns as performed by wingers.
Fig 9.
LCS overlapped movement patterns as performed by hookers.
Fig 10.
LCS overlapped movement patterns as performed by wingers.
Fig 11.
AprioriClose overlapped movement patterns as performed by hookers.
Fig 12.
AprioriClose overlapped movement patterns as performed by wingers.
Table 5.
Classifiers’ separation accuracies using sets of extracted movement patterns.
Table 6.
Logistic Regression Top 20 important patterns and scores per algorithm.
(a) Top 20 APR Patterns Importance Score. (b) Top 20 SMP Patterns Importance Score. (c) Top 20 LCC Patterns Importance Score.