Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data is a research paper published in IEEE Internet of Things Journal (2023). On theSindex it has a DataRank of 0. It has been cited 15 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
NIH
Grant: 1R56DK114514-01A1
VIP:Visual-Valid Dietary Behavior Pattern Recognition for Local-National Trials
NIH
Grant: R01DK129432
NSF-IIS
Grant: 2140729
NIDDK NIH HHS
Grant: R56 DK114514
FWCI
2.09
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords