4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.DB2022
A Projected Upper Bound for Mining High Utility Patterns from Interval-Based Event Sequences
S. Mohammad Mirbagheri
High utility pattern mining is an interesting yet challenging problem. The intrinsic computational cost of the problem will impose further challenges if efficiency in addition to t…
cs.LG2019★ 2 cited
High Utility Interval-Based Sequences
S. Mohammad Mirbagheri, Howard J. Hamilton
Sequential pattern mining is an interesting research area with broad range of applications. Most prior research on sequential pattern mining has considered point-based data where e…
cs.LG2019★ 4 cited
FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences
S. Mohammad Mirbagheri, Howard J. Hamilton
We study the problem of classifying interval-based temporal sequences (IBTSs). Since common classification algorithms cannot be directly applied to IBTSs, the main challenge is to…