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Majid Bashir Malik
Majid Bashir Malik
Department of Computer Sciences, BGSB University, Rajouri, J & K , India
Verified email at bgsbu.ac.in
Title
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Cited by
Year
Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions
N Rouf, MB Malik, T Arif, S Sharma, S Singh, S Aich, HC Kim
Electronics 10 (21), 2717, 2021
2232021
Privacy preserving data mining techniques: current scenario and future prospects
MB Malik, MA Ghazi, R Ali
2012 third international conference on computer and communication technology …, 2012
2022012
An ensemble machine learning approach for predicting type-II diabetes mellitus based on lifestyle indicators
SM Ganie, MB Malik
Healthcare Analytics 2, 100092, 2022
962022
An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms.
SM Ganie, PKD Pramanik, MB Malik, A Nayyar, KS Kwak
Comput. Syst. Sci. Eng. 46 (3), 3993-4006, 2023
522023
Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches
SM Ganie, MB Malik, T Arif
Journal of Diabetes & Metabolic Disorders 21 (1), 339-352, 2022
442022
Comparative analysis of various supervised machine learning algorithms for the early prediction of type-II diabetes mellitus
SM Ganie, MB Malik
International Journal of Medical Engineering and Informatics 14 (6), 473-483, 2022
432022
An ensemble learning approach for diabetes prediction using boosting techniques
SM Ganie, PKD Pramanik, M Bashir Malik, S Mallik, H Qin
Frontiers in Genetics 14, 1252159, 2023
382023
Advances towards automatic detection and classification of parasites microscopic images using deep convolutional neural network: methods, models and research directions
S Kumar, T Arif, AS Alotaibi, MB Malik, J Manhas
Archives of Computational Methods in Engineering 30 (3), 2013-2039, 2023
352023
Machine learning techniques for diagnosis of type 2 diabetes using lifestyle data
SM Ganie, MB Malik, T Arif
International Conference on Innovative Computing and Communications …, 2021
322021
Supply chain of chemical industry for warehouse with distribution centres using artificial bee colony algorithm
AS Yadav, J Kumar, M Malik, T Pandey
International Journal of Engineering and Advanced Technology 8 (2), 14-19, 2019
222019
Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data
MB Malik, SM Ganie, T Arif
Predictive Modeling in Biomedical Data Mining and Analysis, 295-311, 2022
212022
Satyabrata Aich, and Hee-Cheol Kim. Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions
N Rouf, MB Malik, T Arif, S Sharma, S Singh
Electronics 10 (21), 2717, 2021
202021
An analysis marble industry inventory optimization based on genetic algorithms and particle swarm optimization
T Pandey, AS Yadav, M Malik
International Journal of Recent Technology and Engineering 7 (6S4), 369-373, 2019
202019
Various platforms and machine learning techniques for big data analytics: a technological survey
SM Ganie, MB Malik, T Arif
Int J Scientific Res Comput Sci Eng Inform Technol 3 (6), 679-87, 2018
182018
Role of ICT in driving e-commerce business in developing countries
V Kumar, T Arif, MB Malik
National conference on recent innovations & advancements in information …, 2014
152014
Machine learning techniques for big data analytics in healthcare: current scenario and future prospects
SM Ganie, MB Malik, T Arif
Telemedicine: The Computer Transformation of Healthcare, 103-123, 2022
122022
Early prediction of diabetes mellitus using various artificial intelligence techniques: a technological review
SM Ganie, MB Malik, T Arif
International Journal of Business Intelligence and Systems Engineering 1 (4 …, 2021
112021
Browser simulation-based crawler for online social network profile extraction
SI Bhat, T Arif, MB Malik, AA Sheikh
International Journal of Web Based Communities 16 (4), 321-342, 2020
112020
An ensemble Machine Learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators. Healthcare Analytics, 2, 100092
SM Ganie, MB Malik
102022
Impact of healthcare on stock market volatility and its predictive solution using improved neural network
N Rouf, M Bashir Malik, S Sharma, IH Ra, S Singh, A Meena
Computational intelligence and neuroscience 2022 (1), 7097044, 2022
62022
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