Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

In order to effectively infer correct labels from noisy crowdsourced annotations, learning-from-
crowds models have introduced expert validation. However, little research has been done …

Data collection in underwater acoustic sensor networks (UASNs) and the exposure of node
location information pose a threat to the security of the entire network. Therefore, the main …

The loan eligibility prediction model makes use of an analysis technique that modifies
historical and present credit user information to create predictions. A significant issue in …

ABSTRACT The Box–Cox transformation is an important technique in linear regression
when assumptions of a regression model are seriously violated. The technique has been …

Purpose Fraud transaction detection has become a significant factor in the communication
technologies and electronic commerce systems, as it affects the usage of electronic …

Cancer has always been one of the major hazards to human life which is also the most
difficult part of human disease history. The death rate due to cancer is high. The prediction …

Accurate flight delay prediction is fundamental to establishing an efficient airline business. It
is considered one of the most critical intelligent aviation systems components. Recently …

With the continuous development of Regional Integrated Energy System (RIES), demand
response (DR) is composed of diversified loads including electric load, heat load and gas …

In recent years sophisticated data structures based on datacubes have been proposed to
perform interactive visual exploration of large datasets. While powerful, these approaches …