Towards Highly-efficient and Accurate Services QoS Prediction via Machine Unlearning

An Efficient Location Based QoS Prediction Mechanism for Web Services

Nowadays, the process of service computing is achieving the momentum through an enhanced paradigm for several type of organization for delivering the functionalities. The orchestrations and the web services are doing consideration about the infrastructure for managing the process of business and activity workflow with web infrastructure. In this paper, novel techniques have been used like enhan...

Privacy-Preserving Collaborative Web Services QoS Prediction via Differential Privacy

Collaborative Web services QoS prediction has become an important tool for the generation of accurate personalized QoS. While a number of achievements have been attained on the study of improving the accuracy of collaborative QoS prediction, little work has been done for protecting user privacy in this process. In this paper, we propose a privacy-preserving collaborative QoS prediction framewor...

A Highly Accurate Prediction Algorithm for

Quality of Service (QoS) guarantee is an important component of service recommendation. Generally, some QoS values of a service are unknown to its users who has never invoked it before, and therefore the accurate prediction of unknown QoS values is significant for the successful deployment of Web service-based applications. Collaborative filtering is an important method for predicting missing v...

Towards Efficient and Accurate Image Matting

Optimized Preprocessing for Accurate and Efficient Bioassay Prediction with Machine Learning Algorithms

Bioassay is the measurement of the potency of a chemical substance by its effect on a living animal or plant tissue. Bioassay data and chemical structures from pharmacokinetic and drug metabolism screening are mined from and housed in multiple databases. Bioassay prediction is calculated accordingly to determine further advancement. This paper proposes a four-step preprocessing of datasets for ...