Mustansar ali Ghazanfar
Mustansar ali Ghazanfar
University of Southampton UK
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Cited by
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A scalable, accurate hybrid recommender system
MA Ghazanfar, A Prugel-Bennett
2010 Third International Conference on Knowledge Discovery and Data Mining …, 2010
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
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
Kernel-mapping recommender system algorithms
MA Ghazanfar, A Prügel-Bennett, S Szedmak
Information Sciences 208, 81-104, 2012
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
“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
Fulfilling the needs of gray-sheep users in recommender systems, a clustering solution
M Ghazanfar, A Prugel-Bennett
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
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
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
Experimenting switching hybrid recommender systems
MA Ghazanfar
Intelligent Data Analysis 19 (4), 845-877, 2015
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
Novel significance weighting schemes for collaborative filtering: Generating improved recommendations in sparse environments
M Ghazanfar, A Prugel-Bennett
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
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
Incremental kernel mapping algorithms for scalable recommender systems
MA Ghazanfar, S Szedmak, A Prugel-Bennett
2011 IEEE 23rd International Conference on Tools with Artificial …, 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 accurate and practical recommender system algorithms using machine learning classifier and collaborative filtering
A Sattar, MA Ghazanfar, M Iqbal
Arabian Journal for Science and Engineering 42 (8), 3229-3247, 2017
Robust, scalable, and practical algorithms for recommender systems
MA Ghazanfar
University of Southampton, 2012
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