Implementasi Adasyn Untuk Imbalance Data Pada Dataset UNSW-NB15 Adasyn Implementation For Data Imbalance on UNSW-NB15 Dataset [PDF]
Jurnal CoSciTech (Computer Science and Information Technology), 2022 Di masa Machine Learning pada saat ini, para peneliti bekerja keras untuk mengembangkan algoritma yang meningkatkan kemungkinan prediksi yang benar dengan akurasi yang lebih baik. Data tidak seimbang adalah ketika ukuran sampel dari satu kelas jauh lebih besar dari kelas lain, sampel minoritas dapat diperlakukan sebagai noise dalam proses klasifikasi ...
Januar Al Amien +2 more
openaire +2 more sources
Pengaruh Algoritma ADASYN dan SMOTE terhadap Performa Support Vector Machine pada Ketidakseimbangan Dataset Airbnb [PDF]
Edumatic, 2021 Traveling activities are increasingly being carried out by people in the world. Some tourist attractions are difficult to reach hotels because some tourist attractions are far from the city center, Airbnb is a platform that provides home or apartment ...
Wahyu Hidayat +2 more
doaj +3 more sources
Transformer fault diagnosis method based on TLR-ADASYN balanced dataset [PDF]
Scientific Reports, 2023 AbstractAs the cornerstone of transmission and distribution equipment, power transformer plays a very important role in ensuring the safe operation of power system. At present, the technology of dissolved gas analysis (DGA) has been widely used in fault diagnosis of oil-immersed transformer.
Shan Guan, Haiqi Yang, Tongyu Wu
openaire +4 more sources
Impact of SMOTE and ADASYN on Class Imbalance in Metabolic Syndrome Classification Using Random Forest Algorithm [PDF]
Journal of Applied Informatics and ComputingMetabolic Syndrome is a collection of medical conditions that can increase the risk of stroke, cardiovascular disease, and type 2 diabetes. Early detection of this condition requires a machine learning model capable of accurate classification to support ...
Lutfiana Deka Nurhayati, Majid Rahardi
doaj +2 more sources
A Comparative Review of SMOTE and ADASYN in Imbalanced Data Classification [PDF]
, 2021 In this thesis, the performance of two over-sampling techniques, SMOTE and ADASYN, is compared. The comparison is done on three imbalanced data sets using three different classification models and evaluation metrics, while varying the way the data is pre-processed.
Brandt, Jakob, Lanzén, Emil
openaire +2 more sources
Peningkatan Performa Model Hard Voting Classifier dengan Teknik Oversampling ADASYN pada Penyakit Diabetes [PDF]
EdumaticDiabetes is a chronic disease that arises from excess sugar levels in the body and lack of exercise intensity resulting in a buildup in the blood. Indonesia ranks fifth as the country with the largest number of people with diabetes based on a report from
Muhammad Ikhsan Anugrah +2 more
doaj +3 more sources
A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms [PDF]
International Journal of Web ResearchSecuring computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). While machine learning techniques are commonly used for anomaly-based intrusion detection, data imbalance challenges conventional ...
Nasiru Ige Salihu +2 more
doaj +2 more sources
Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases [PDF]
JOIN: Jurnal Online InformatikaImbalanced data happens when the distribution of classes is not equal between positive and negative classes. In healthcare, the majority class typically consists of healthy patient data, while the minority class contains sick patient data. This condition
Uung Ungkawa, Muhammad Avilla Rafi
doaj +3 more sources
PAD-SA: a method for predicting the turnover of scientific researchers based on ADASYN-Stacking algorithm [PDF]
Discover Applied SciencesScientific researchers constitute the core strength of innovation within an organization, and their turnover can significantly affect the enterprise. This includes the risk of trade secret disclosure, setbacks in research and development, and stalled ...
Tianyi Zhang +3 more
doaj +2 more sources
Seleksi Fitur dan Penanganan Imbalanced Data menggunakan RFECV dan ADASYN [PDF]
Jurnal Eksplora Informatika, 2022 Proses data mining bekerja terhadap data yang tersedia. Jika dataset tidak tersedia sepenuhnya, hasil pengolahan data mining menjadi tidak optimal. Terdapat beberapa kondisi data yang perlu penanganan terlebih dahulu sebelum memasuki tahap data mining. Salah satunya ialah imbalanced class yang merupakan kondisi di mana distribusi data pada setiap kelas
Putri Taqwa Presetyaningrum +2 more
openaire +3 more sources