Klasifikasi data tidak Seimbang menggunakan algoritma SMOTE dan k-nearest neighbor
R Siringoringo - Journal Information System Development …, 2018 - ejournal-medan.uph.edu
Unbalanced data classification is a crucial problem in the field of machine learning and data
mining. Data imbalances have a poor impact on classification results where minority classes …
mining. Data imbalances have a poor impact on classification results where minority classes …
Text mining dan klasterisasi sentimen pada ulasan produk toko online
R Siringoringo, J Jamaludin - Jurnal Teknologi Dan Ilmu …, 2019 - jurnal.unprimdn.ac.id
Pertumbuhan media sosial dan e-commerce mengubah cara berinteraksi dan
menyampaikan pandangan, opini dan mood. Ulasan produk merupakan salah satu bentuk …
menyampaikan pandangan, opini dan mood. Ulasan produk merupakan salah satu bentuk …
[PDF][PDF] A rule-generation model for class imbalances to detect student entrepreneurship based on the Theory of Planned Behavior
The ability to identify the entrepreneurial potential of students enables higher education
institutions to contribute to the economic and social development of a country. Current …
institutions to contribute to the economic and social development of a country. Current …
[PDF][PDF] Analysis of student performance based on classification and map reduce approach in big data
In recent years, a large amount of data stored in the educational database mainly contains
student's information like marks and personal details. Using that information, we can analyze …
student's information like marks and personal details. Using that information, we can analyze …
A Cluster Switching Method for Sampling Imbalanced Data
W Prachuabsupakij, S Simcharoen - Proceedings of the 2nd …, 2018 - dl.acm.org
Classification on imbalanced data is one of the most interesting in data mining challenge. In
this paper, a new repetitive sampling method, namely ClusIM is proposed to improve the …
this paper, a new repetitive sampling method, namely ClusIM is proposed to improve the …
A Hybrid Data Level Approach for Improving Classification Performance in Imbalanced Dataset
วัน ท นี ประจวบ ศุภ กิจ - Progress in Applied Science and …, 2018 - ph02.tci-thaijo.org
The imbalanced problem occurs when the number of instance in the one class sharply
outnumber another class. The classification on imbalanced data always brings about …
outnumber another class. The classification on imbalanced data always brings about …
Analisis sentimen berbasis aspek pada ulasan aplikasi novel online di media sosial menggunakan latent dirichlet allocation dan bidirectional encoder representations …
S Nabilah - repository.uinjkt.ac.id
Penelitian ini membahas tentang Aspect-Based Sentiment Analysis yang bertujuan untuk
mengevaluasi atau mengetahui kelebihan dan kekurangan berdasarkan review pengguna …
mengevaluasi atau mengetahui kelebihan dan kekurangan berdasarkan review pengguna …
ENSEMBLE LEARNING DAN ANALISIS SENTIMEN PADA DATA ULASAN PRODUK
R Siringoringo, RP Angin… - Jurnal Informatika …, 2019 - jurnal.kaputama.ac.id
Mayoritas pengguna internet saat ini melakukan penelusuran di internet sebelum membeli
produk tertentu. Salah satu pertimbangan calon pembeli adalah ulasan produk (product …
produk tertentu. Salah satu pertimbangan calon pembeli adalah ulasan produk (product …