Selecting critical features for data classification based on machine learning methods

RC Chen, C Dewi, SW Huang, RE Caraka - Journal of Big Data, 2020 - Springer
Feature selection becomes prominent, especially in the data sets with many variables and
features. It will eliminate unimportant variables and improve the accuracy as well as the …

Impact of COVID-19 large scale restriction on environment and economy in Indonesia

RE Caraka, Y Lee, R Kurniawan… - Global Journal of …, 2020 - gjesm.net
COVID-19 has a severe and widespread impact, especially in Indonesia. COVID-19 was first
reported in Indonesia on March 03, 2020 then rapidly spread to all 34 provinces by April 09 …

Biclustering data analysis: a comprehensive survey

EN Castanho, H Aidos, SC Madeira - Briefings in Bioinformatics, 2024 - academic.oup.com
Biclustering, the simultaneous clustering of rows and columns of a data matrix, has proved
its effectiveness in bioinformatics due to its capacity to produce local instead of global …

Cluster around latent variable for vulnerability towards natural hazards, non-natural hazards, social hazards in West Papua

RE Caraka, Y Lee, RC Chen, T Toharudin, PU Gio… - Ieee …, 2020 - ieeexplore.ieee.org
The diagnosis of a hazard can be classified into three key domains, particularly regarding
the natural hazards, non-natural hazards and social hazards. The disasters which have …

Strategic insights for MSMEs: navigating the new normal with big data and business analytics

RE Caraka, R Kurniawan, RC Chen, PU Gio… - Journal of Asia …, 2023 - emerald.com
Purpose The purpose of this paper is to manage knowledge pertaining to micro, small and
medium enterprise (MSME) actors in the business, agriculture and industry sectors. This …

Biclustering fMRI time series: a comparative study

EN Castanho, H Aidos, SC Madeira - BMC bioinformatics, 2022 - Springer
Background The effectiveness of biclustering, simultaneous clustering of rows and columns
in a data matrix, was shown in gene expression data analysis. Several researchers …

Hybrid vector autoregression feedforward neural network with genetic algorithm model for forecasting space-time pollution data

RE Caraka, RC Chen, H Yasin… - Indonesian Journal of …, 2021 - ejournal.kjpupi.id
The exposure rate to air pollution in most urban cities is really a major concern because it
results to a life-threatening consequence for human health and wellbeing. Furthermore, the …

Revisiting social vulnerability analysis in Indonesia: An optimized spatial fuzzy clustering approach

BI Nasution, R Kurniawan, TH Siagian… - International Journal of …, 2020 - Elsevier
In previous social vulnerability studies, the use of indices in assessing social vulnerability
can only describe conditions of social vulnerability in general without being able to indicate …

Tendency of investment economy formation

AR Battalova, RS Tukhvatullin… - … of Criminology and …, 2020 - lifescienceglobalca.com
The relevance of the topic is caused by the need to identify trends and characteristics of the
investment economy formation in the face of the external economic environment new …

Urban vulnerability to floods investigation in jakarta, Indonesia: A hybrid optimized fuzzy spatial clustering and news media analysis approach

BI Nasution, FM Saputra, R Kurniawan… - International Journal of …, 2022 - Elsevier
Jakarta, known as the capital city of Indonesia and the national economic activity center, is
also known as the market for floods. Moreover, the regions of Jakarta become vulnerable …