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Expect the gap: A recommender approach to estimate the abse..:
, In:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
,
Schleicher, Miro
;
Pryss, Ruediger
;
Schobel, Johannes
.. - p. 1-10 , 2022
Link:
https://doi.org/10.1109/DSAA54385.2022.10032390
RT T1
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
: T1
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users
UL https://suche.suub.uni-bremen.de/peid=ieee-10032390&Exemplar=1&LAN=DE A1 Schleicher, Miro A1 Pryss, Ruediger A1 Schobel, Johannes A1 Schlee, Winfried A1 Spiliopoulou, Myra YR 2022 K1 Adaptation models K1 Collaborative filtering K1 Time series analysis K1 Clustering algorithms K1 Data science K1 Data models K1 Adherence K1 mHealth K1 Time series with large gaps K1 Recommender SP 1 OP 10 LK http://dx.doi.org/https://doi.org/10.1109/DSAA54385.2022.10032390 DO https://doi.org/10.1109/DSAA54385.2022.10032390 SF ELIB - SuUB Bremen
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