Datascape: exploring heterogeneous dataspace

J Rolland, R Boutin, D Eveillard, B Delahaye - Scientific Reports, 2024 - nature.com
Data science is a powerful field for gaining insights, comparing, and predicting behaviors
from datasets. However, the diversity of methods and hypotheses needed to abstract a …

A machine-learning method of predicting vital capacity plateau value for ventilatory pump failure based on data mining

W Chang, X Ji, L Wang, H Liu, Y Zhang, B Chen… - Healthcare, 2021 - mdpi.com
Ventilatory pump failure is a common cause of death for patients with neuromuscular
diseases. The vital capacity plateau value (VCPLAT) is an important indicator to judge the …

Perbandingan Metode Klasterisasi Data Bertipe Campuran: One-Hot-Encoding, Gower Distance, dan K-Prototype Berdasarkan Akurasi (Studi Kasus: Chronic Kidney …

ZR Fadilah, AW Wijayanto - Journal of Applied Informatics …, 2023 - jurnal.polibatam.ac.id
This study aims to compare the one-hot-encoding method, Gower distance combined with k-
means, DBSCAN, and OPTICS algorithms, and k-prototype for clustering mixed data types …

Prediction of stress-dependent Soil Water Retention using machine learning

SF Fazel Mojtahedi, A Akbarpour, AG Darzi… - Geotechnical and …, 2024 - Springer
The soil water retention curve (SWRC) provides information for a wide range of
geoenvironmental problems, such as analyses of transient two-phase flow, the bearing …

The application of the K-NN imputation method for handling missing values in a dataset

M Syahrizal, S Aripin, DP Utomo, M Mesran… - AIP Conference …, 2024 - pubs.aip.org
One of the things that is highly expected when collecting data is to produce complete data. In
research, incomplete data will affect the results obtained. This is due to the non-maximum …

[HTML][HTML] Municipal street pavement maintenance and management practices in Sweden

MA Afridi - 2024 - diva-portal.org
A well-functioning street network is pivotal in the socio-economic development of a region.
Street networks not only facilitate the movement of people and goods but also allocate …

Perbandingan Kinerja Metode Hybrid KNNI-GA dan MissForest Dalam Menangani Missing Values

LMA Fadila, S Muchlisoh - Seminar Nasional Official Statistics, 2022 - prosiding.stis.ac.id
A good and correct survey business process is to select a representative sample in order to
obtain quality data. However, one of the relevant problems in data quality is the presence of …

Analisis Kinerja Algoritma K-Nearest Neighbor Imputation (KNNI) Untuk Missing Value Pada Klasifikasi Data Mining

M Laia - Journal of Informatics, Electrical and Electronics …, 2023 - djournals.com
At this time many researchers use datasets for research, in the dataset there is a lot of
important information provided to make it easier for researchers to process the data, but …

Research on multivariate time series prediction method based on missing data imputation

D Wen, X Chen - Third International Conference on Advanced …, 2023 - spiedigitallibrary.org
In multivariate time series (MTS), missing data will lead to inaccurate predictions. In this
paper, we propose a multivariate time series forecasting model based on bidirectional gated …

LIGHT GRADIENT BOOSTING DENGAN OPTIMASI HYPERPARAMATER TUNING UNTUK PREDIKSI COVID-19 BERDASARKAN DARAH DAN USIA

K Handayani - repository.bsi.ac.id
Pandemi penyakit virus corona (COVID-19) 2019 menyebabkan sejumlah besar kematian di
dunia. Skrining COVID-19 diperlukan untuk mengidentifikasi suspek positif COVID19 atau …