@inproceedings{c527f7ee58174f229f625756b9089777,
title = "Estimating the collected funding amount of the social project campaigns in a crowdfunding platform",
abstract = "The practice of crowdfunding enables various projects to be funded by a large number of people. Kitabisa.com is a popular Internet crowdfunding platform in Indonesia which focuses on social projects. Despite its popularity, many of its projects have yet to reach their funding goal. Our work aims to predict the amount of funding that will be reached by a campaign in Kitabisa.com. We evaluate various regression models using a number of features and find that the Random Forest regression performed the best.",
keywords = "Crowdfunding, Gradient Boost, Random Forest, Regression, Regularization",
author = "Sahid, {Galuh Tunggadewi} and Ivana Putri and Septiana, {Intan Sari} and Rahmad Mahendra",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 ; Conference date: 28-10-2017 Through 29-10-2017",
year = "2018",
month = may,
day = "4",
doi = "10.1109/ICACSIS.2017.8355046",
language = "English",
series = "2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "277--282",
booktitle = "2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017",
address = "United States",
}