@article{Iqbal_Wulandari_Yunanto_Sari_2019, title={Mining Non-Zero-Rare Sequential Patterns On Activity Recognition}, volume={5}, url={https://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/504}, DOI={10.15642/mantik.2019.5.1.1-9}, abstractNote={<p>Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered motion sensor sequences to obtain non-zero-rare human activity patterns—the patterns which most occur in the motion sensor sequences and the occurrence numbers are less than the pre-defined occurrence threshold. This study proposes an algorithm to mine non-zero-rare pattern on human activity recognition called <strong><u>M</u></strong>ining <strong>M</strong>ulti-class Non-Zero-<strong><u>R</u></strong>are <strong><u>S</u></strong>equential <strong><u>P</u></strong>atterns (MMRSP).  The experimental result showed that non-zero-rare human activity patterns succeed to capture the unusual activity. Furthermore, the MMRSP performed well according to the precision value of rare activities.</p>}, number={1}, journal={Jurnal Matematika MANTIK}, author={Iqbal, Mohammad and Wulandari, Chandrawati Putri and Yunanto, Wawan and Sari, Ghaluh Indah Permata}, year={2019}, month={May}, pages={1–9} }