every woman is at risk of ovarian cancer; about 90 percent of women who develop ovarian cancer are above 40 years of age, with the high number of ovarian cancers occurring at the age of 60 years and above. early and correct diagnosis of ovarian cancer can allow proper treatment and as a result reduce the mortality rate. in this paper, we proposed a hybrid of synthetic minority over-sampling tec...

Di masa Machine Learning pada saat ini, para peneliti bekerja keras untuk mengembangkan algoritma yang meningkatkan kemungkinan prediksi benar dengan akurasi lebih baik. Data tidak seimbang adalah ketika ukuran sampel dari satu kelas jauh besar lain, minoritas dapat diperlakukan sebagai noise dalam proses klasifikasi, mengakibatkan hasil klasifikasi memuaskan. Pada penelitian ini menggunakan da...

Intrusion detection technology for network attacks is developing rapidly with the development of artificial intelligence technology. Recently, machine learning-based methods that can detect new types have been developed. To improve classification performance rare classes in intrusion dataset, we study efficient data preprocessing method based on learning. The UNSW-NB15, a well-known used experi...

Uplift modeling aims to model the incremental impact of a treatment on an individual outcome, which has attracted great interests researchers and practitioners from different communities. Existing uplift methods rely either data collected randomized controlled trials (RCTs) or observational is more realistic. However, we notice that data, it often case only small number subjects receive treatme...