Web service QoS prediction via collaborative filtering: A survey

Z Zheng, X Li, M Tang, F Xie… - … Transactions on Services …, 2020 - ieeexplore.ieee.org
… corresponding feature selection and weighting functionality. In … similar users and similar
Web services into clusters. The … able Web services via third-party agents are used to improve

QoS prediction for service recommendation with features learning in mobile edge computing environment

Y Yin, Z Cao, Y Xu, H Gao, R Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… storage, Web services, webbased services and service-oriented … We also design a fuzzy
clustering algorithm to improve the … Finally, we use the degree of correlation as a weight and …

QoS prediction for service recommendation with deep feature learning in edge computing environment

Y Yin, L Chen, Y Xu, J Wan, H Zhang, Z Mai - Mobile networks and …, 2020 - Springer
… analyzed the description content of Web services and used … Prediction), which was based
on clustering algorithm. Tian [31… similarity computation method, which is enhanced by inverse …

A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach

H Zhao, Z Liu, X Yao, Q Yang - Information Processing & Management, 2021 - Elsevier
… bi-clustering methodology, feature vectors’ local patterns were identified by pondering the
product reviews’ different lengths. … of massive features in the reviews, which could improve the …

Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling

H Kim, HK Kim, S Cho - Expert Systems with Applications, 2020 - Elsevier
… each cluster for calculating β D F ( C i ) , our method is capable of dynamically defining the
level of infrequency based on the size of each cluster… 6, we provide an overall summary of our …

Data-driven web APIs recommendation for building web applications

L Qi, Q He, F Chen, X Zhang, W Dou… - IEEE transactions on big …, 2020 - ieeexplore.ieee.org
Based on the clustering results, similar web APIs can be … different web services or APIs. In
[26], the composability of two … also enhance WAR with automatic query expansion techniques

Deep feature-based text clustering and its explanation

R Guan, H Zhang, Y Liang, F Giunchiglia… - … on Knowledge and …, 2020 - ieeexplore.ieee.org
… -feature enhancement models are available for text clustering… Taking sequence information
and contextual information into … adjust every word’s weight for each cluster adaptively. In this …

JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters

L Cai, Y Li, Z Xiong - Computers & Security, 2021 - Elsevier
… on feature weighting to improve the accuracy of Android malware detection. In information
… Each application corresponds to a binary feature vector, whose length is equal to the size of …

Resource provisioning using workload clustering in cloud computing environment: a hybrid approach

A Shahidinejad, M Ghobaei-Arani, M Masdari - Cluster Computing, 2021 - Springer
… assigning weights to quality characteristic in each … Clustering models are built as
increasing the number of … web services, financial services, online transaction processing …

Multi-view low rank sparse representation method for three-way clustering

GA Khan, J Hu, T Li, B Diallo, Y Zhao - International Journal of Machine …, 2022 - Springer
… view clustering method, which maintains the optimal weighted … new approach that can cluster
the multi-view information in a … view clustering technique to enhance the performance of the …