About Mohammad Mohiuddin Azad Mohammad Mohiuddin Azad Ph.D. Student, Computer Science machine learning data mining Research Interests Study of greedy and dynamic programming algorithms for construction of exact and approximate decision trees, rules and reducts for decision tables with many-valued decisions Analysis and design of classifiers based on decision trees, reducts, and decision rule systems Data mining, Machine Learning Selected Publications Mohammad Azad, Igor Chikalov, Shahid Hussain and Mikhail Moshkov. “Restricted multi-pruning of decision trees”. MLDAS (Machine Learning and Data Analytics Symposium) 2016 organized by QCRI (Qatar Computing Research Institute) and Boeing International, Doha Articles Related News November 2022 Decision Trees with Hypotheses 1 min read · Sun, Nov 20 2022 News New book Decision Trees with Hypotheses by Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, and Beata Zielosko has been published online.
Decision Trees with Hypotheses 1 min read · Sun, Nov 20 2022 News New book Decision Trees with Hypotheses by Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, and Beata Zielosko has been published online.
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