%0 Journal Article %1 journals/access/DaiB17 %A Dai, Xiangfeng %A Bikdash, Marwan %D 2017 %J IEEE Access %K dblp %P 27767-27776 %T Trend Analysis of Fragmented Time Series for mHealth Apps: Hypothesis Testing Based Adaptive Spline Filtering Method With Importance Weighting. %U http://dblp.uni-trier.de/db/journals/access/access5.html#DaiB17 %V 5

@article{journals/access/DaiB17, added-at = {2018-07-04T00:00:00.000+0200}, author = {Dai, Xiangfeng and Bikdash, Marwan}, biburl = {https://www.bibsonomy.org/bibtex/21996daa9a9ffbbcc0cd6c0bb74e29c15/dblp}, ee = {https://doi.org/10.1109/ACCESS.2017.2696502}, interhash = {59c5c10ceb0539d0cadd0a78424c50cb}, intrahash = {1996daa9a9ffbbcc0cd6c0bb74e29c15}, journal = {IEEE Access}, keywords = {dblp}, pages = {27767-27776}, timestamp = {2018-07-05T11:41:20.000+0200}, title = {Trend Analysis of Fragmented Time Series for mHealth Apps: Hypothesis Testing Based Adaptive Spline Filtering Method With Importance Weighting.}, url = {http://dblp.uni-trier.de/db/journals/access/access5.html#DaiB17}, volume = 5, year = 2017 }