Fahad Ahmed

Work place: American International University-Bangladesh, Dhaka-1213,Bangladesh

E-mail: fahad.ahmed@aiub.edu


Research Interests: Human-Computer Interaction, Distributed Computing, Data Mining, Data Structures and Algorithms


Mr. Fahad Ahmed has completed his B.Sc and M.Sc degree in Computer Science from American International University- Bangladesh. His major was Information and Database Management. Currently, his is focusing on Data Mining and visualization technologies and related algorithms. His area of research is large scale data mining, distributed system, and human-machine interaction. Fahad Ahmed can be contacted at fahad.ahmed@aiub.edu.

Author Articles
Investigating Factors that Influence Rice Yields of Bangladesh using Data Warehousing, Machine Learning, and Visualization

By Fahad Ahmed Dip Nandi Mashiour Rahman Khandaker Tabin Hasan

DOI: https://doi.org/10.5815/ijmecs.2017.03.05, Pub. Date: 8 Mar. 2017

In this paper, we have tried to identify the prominent factors of Rice production of all the three seasons of the year (Aus, Aman, and Boro) by applying K-Means clustering on climate and soil variables' data warehoused using Fact Constellation schema. For the clustering, the popular machine-learning tool Weka was used whose visualization feature was principally useful to determine the patterns, dependencies, and relationships of rice yield on different climate and soil factors of rice production.

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