Over the past two decades, one-class classification (OCC) becomes very popular due to its
diversified applicability in data mining and pattern recognition problems. Concerning to …

As one of state-of-the-art supervised novelty detection models, support vector machine-
supervised novelty detection (SVM-SND) can recognize whether a test instance is a novelty …

The rapid development of emerging technologies such as machine learning and data
mining promotes a lot of smart applications, eg, Internet of things (IoT). The supply chain …

The standard one-class support vector machine (OC-SVM) is sensitive to noises, since every
instance is equally treated. To address this problem, the weighted one-class support vector …

Twin support vector machines (TWSVM) is a new machine learning method based on the
theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two non …

An On-Load Tap Changer (OLTC) that regulates transformer voltage is one of the most
important and strategic components of a transformer. Detecting faults in this component at …

Loan status prediction is an effective tool for investment decisions in peer-to-peer (P2P)
lending market. In P2P lending market, most borrowers fulfill the repayment plan; however …

This paper presents a novel distributed one-class classification approach based on an
extension of the ν-SVM method, thus permitting its application to Big Data data sets. In our …

It is time consuming to train support vector regression (SVR) for large-scale problems even
with efficient quadratic programming solvers. This issue is particularly serious when tuning …

The password is the most prevalent and reliant mode of authentication by date. We often
come across many websites with user registration pages having different password strength …