I am a PhD candidate at the School of Computer Science at the University of Windsor, and working under the supervision of Prof. Jianguo Lu and Prof. Yung H. Tsin. My research interests are mainly in data science, big data, graph algorithms, estimation, statistics, machine learning, and deep learning. My previous research focus was in the areas of data/web/text mining, and metaheuristic algorithms.
Roohollah Etemadi, Jianguo Lu, and Yung H. Tsin. 2016. Efficient Estimation of Triangles in Very Large Graphs. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16). ACM, New York, NY, USA, 1251-1260. Pdf, BibTex, Data (Long paper, acceptance rate=165/935=17.6%).
Roohollah Etemadi, Jianguo Lu. 2017. Bias Correction in Clustering Coefficient Estimation, IEEE International Conference on Big Data (IEEE BigData '17). Boston. USA. Pdf, Data (Long paper, acceptance rate=17.8%).
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