Missing data problem in predictive analytics
H Nugroho, K Surendro - Proceedings of the 2019 8th international …, 2019 - dl.acm.org
A revolution in computational methods and statistics to process and analyse data into insight
and knowledge is along with the growth of data. The paradigm of data analytic is changed …
and knowledge is along with the growth of data. The paradigm of data analytic is changed …
A Review: Data Quality Problem in Predictive Analytics
H Nugroho - IJAIT (International Journal of Applied …, 2023 - journals.telkomuniversity.ac.id
As data size continues to grow, there has been a revolution in computational methods and
statistics to process and analyze data into insight and knowledge. This change in the …
statistics to process and analyze data into insight and knowledge. This change in the …
Comparison method for handling missing data in clinical studies
Missing data is an issue that cannot be avoided. Most data mining algorithms cannot work
with data that consist of missing values. Complete case analysis, single imputation, multiple …
with data that consist of missing values. Complete case analysis, single imputation, multiple …
Data prediction for cases of incorrect data in multi-node electrocardiogram monitoring.
S Hadiyoso, H Nugroho… - … Journal of Electrical …, 2022 - search.ebscohost.com
The development of a mesh topology in multi-node electrocardiogram (ECG) monitoring
based on the ZigBee protocol still has limitations. When more than one active ECG node …
based on the ZigBee protocol still has limitations. When more than one active ECG node …