Titlebook: Data Mining; 17th Australasian Co Thuc D. Le,Kok-Leong Ong,Graham Williams Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2

綠州

Genteel

Classifying Imbalanced Road Accident Data Using Recurring Concept Drifties, but the results from the analysis can become outdated. We propose a stream classification framework with drift detection to signal and adapt when the factors associated with crash casualties change over time. We propose a drift detection framework, G-mean Adaptive drift Detection (GAD), which a

Obstruction

Robust

Customer Wallet Share Estimation for Manufacturers Based on Transaction Dataase. One of the most important pieces of information is to estimate . for each individual customer. In the literature a related concept is often referred to as . that provides aggregated measures such as the business market share. The current trend in personalising marketing campaigns have led to mo

nocturnal

中世紀(jì)

Network Path Estimation in Uncertain Data via Entity Resolutionnal awareness. In this context, information obtained from multiple sources and at different points in time must be integrated. However, duplicate representations of the same entities in different data sources must be identified and merged to accurately infer and rank network paths. We extend previou

斥責(zé)

貧窮地活

慢慢沖刷

Data Mining978-981-15-1699-3Series ISSN 1865-0929 Series E-ISSN 1865-0937

Indigence