Mustansar ali Ghazanfar
Mustansar ali Ghazanfar
University of Southampton UK
Verified email at uel.ac.uk - Homepage
Title
Cited by
Cited by
Year
A scalable, accurate hybrid recommender system
MA Ghazanfar, A Prugel-Bennett
2010 Third International Conference on Knowledge Discovery and Data Mining …, 2010
1632010
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
1592015
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
1322014
An improved switching hybrid recommender system using Naive Bayes classifier and collaborative filtering
M Ghazanfar, A Prugel-Bennett
782010
Kernel-mapping recommender system algorithms
MA Ghazanfar, A Prügel-Bennett, S Szedmak
Information Sciences 208, 81-104, 2012
532012
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
522014
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
452010
“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
41*2011
Fulfilling the needs of gray-sheep users in recommender systems, a clustering solution
M Ghazanfar, A Prugel-Bennett
392011
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
282018
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 (5), 1263-1276, 2019
272019
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 (3), 3553-3586, 2019
262019
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
262018
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 (2), 239-254, 2019
252019
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, 2020
212020
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
192017
Mispronunciation detection using deep convolutional neural network features and transfer learning-based model for Arabic phonemes
F Nazir, MN Majeed, MA Ghazanfar, M Maqsood
IEEE Access 7, 52589-52608, 2019
162019
A performance comparison of machine learning classification approaches for robust activity of daily living recognition
RG Hussain, MA Ghazanfar, MA Azam, U Naeem, SU Rehman
Artificial Intelligence Review 52 (1), 357-379, 2019
152019
Experimenting switching hybrid recommender systems
MA Ghazanfar
Intelligent Data Analysis 19 (4), 845-877, 2015
152015
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
142019
The system can't perform the operation now. Try again later.
Articles 1–20