Mustansar ali Ghazanfar
Cytowane przez
Cytowane przez
Novel centroid selection approaches for KMeans-clustering based recommender systems
S Zahra, MA Ghazanfar, A Khalid, MA Azam, U Naeem, A Prugel-Bennett
Information sciences 320, 156-189, 2015
Stock market prediction using machine learning classifiers and social media, news
W Khan, MA Ghazanfar, MA Azam, A Karami, KH Alyoubi, AS Alfakeeh
Journal of Ambient Intelligence and Humanized Computing, 1-24, 2022
A scalable, accurate hybrid recommender system
MA Ghazanfar, A Prugel-Bennett
2010 Third International Conference on Knowledge Discovery and Data Mining …, 2010
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
MA Ghazanfar, A Prügel-Bennett
Expert Systems with Applications 41 (7), 3261-3275, 2014
An improved switching hybrid recommender system using naive bayes classifier and collaborative filtering
M Ghazanfar, A Prugel-Bennett
An IoT based efficient hybrid recommender system for cardiovascular disease
F Jabeen, M Maqsood, MA Ghazanfar, F Aadil, S Khan, MF Khan, ...
Peer-to-Peer Networking and Applications 12, 1263-1276, 2019
Frequent pattern mining algorithms for finding associated frequent patterns for data streams: A survey
S Nasreen, MA Azam, K Shehzad, U Naeem, MA Ghazanfar
Procedia Computer Science 37, 109-116, 2014
A novel DeepMaskNet model for face mask detection and masked facial recognition
N Ullah, A Javed, MA Ghazanfar, A Alsufyani, S Bourouis
Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022
Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis
KHAASA Wasiat Khan, Usman Malik, Mustansar Ali Ghazanfar, Muhammad Awais Azam
Soft Computing, 2019
Kernel-mapping recommender system algorithms
MA Ghazanfar, A Prügel-Bennett, S Szedmak
Information Sciences 208, 81-104, 2012
A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA)
A Kalsoom, M Maqsood, MA Ghazanfar, F Aadil, S Rho
The Journal of Supercomputing 74 (9), 4568-4602, 2018
“The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations”
A Ghazanfar, M. and Prugel-Bennett
In the European Conference on Data Mining (ECDM’11), 2011
Prediction of stock market by principal component analysis
M Waqar, H Dawood, P Guo, MB Shahnawaz, MA Ghazanfar
2017 13th International conference on computational intelligence and …, 2017
Building switching hybrid recommender system using machine learning classifiers and collaborative filtering
M Ghazanfar, A Prugel-Bennett
IAENG International Journal of Computer Science 37 (3), 2010
Social media signal detection using tweets volume, hashtag, and sentiment analysis
F Nazir, MA Ghazanfar, M Maqsood, F Aadil, S Rho, I Mehmood
Multimedia Tools and Applications 78, 3553-3586, 2019
A Jaccard base similarity measure to improve performance of CF based recommender systems
M Ayub, MA Ghazanfar, M Maqsood, A Saleem
2018 International Conference on Information Networking (ICOIN), 1-6, 2018
Fulfilling the needs of gray-sheep users in recommender systems, a clustering solution
M Ghazanfar, A Prugel-Bennett
Optimized gabor feature extraction for mass classification using cuckoo search for big data e-healthcare
S Khan, A Khan, M Maqsood, F Aadil, MA Ghazanfar
Journal of Grid Computing 17, 239-254, 2019
Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems
M Ayub, MA Ghazanfar, Z Mehmood, T Saba, R Alharbey, AM Munshi, ...
PloS one 14 (8), e0220129, 2019
An improved product recommendation method for collaborative filtering
A Iftikhar, MA Ghazanfar, M Ayub, Z Mehmood, M Maqsood
IEEE Access 8, 123841-123857, 2020
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