Selected Publications

S. Wang*, C. F. Eick, “MR-SNN: Design of Parallel Shared Nearest Neighbor Clustering on Hadoop”, in Proceedings of IEEE International Conference on Big Data Analysis 2017 (ICBDA), Beijing, China, March 10-12, 2017.
S. Wang*, “A Framework for Location-based Social Media Analysis on Hadoop Ecosystem”, in Proceedings of the Third International Conference on CyberGIS and Geospatial Data Science, UIUC, Urbana, Illinois, USA, July 26-28, 2016.
S. Wang*, J. Zhang, Q, Xu, “Computer Modeling and Dynamic Simulation for Industrial Flare Minimization,” in Proceedings of the 18th International Conference on Computer Modeling and Simulation (ICCMS 2016), Miami, FL, December 5 - 6, 2016.
S. Wang*, C. F. Eick, Q. Xu “A Spatiotemporal Data Mining Framework for Mining Ozone Pollution Data”, in Proceedings of the 13th International Conference on Geo-computation, Dallas, TX, USA, May 20 - 23, 2015.
S. Wang*, C. F. Eick, “A Polygon-based Clustering and Analysis Framework for Mining Spatial Datasets,” the International Journal of GeoInformatica, Volume 18 Issue 3, Pages: 569-594, July 2014, DOI: 10.1007/s10707-013-0190-2.
S. Wang*, T. Cai, C. F. Eick, “New Spatiotemporal Clustering Algorithms and their Applications to Ozone Pollution,” in Proceedings of the 13th IEEE International Conference on Data Mining Workshop (ICDMW) on Spatial and Spatiotemporal Data Mining (SSTDM-13), Dallas, TX, USA, December 7-11, 2013.
Z. Cao, S. Wang*, C. F. Eick, “Analyzing the Composition of Cities Using Spatial Clustering,” in Proceedings of the 19th ACM SIGKDD conference on Knowledge Discovery and Data Mining Workshop (KDD) on Urban Computing (UrbComp 2013), Chicago, IL, USA, August 11-14, 2013.
S. Wang*, C. F. Eick, “A Spatial Temporal Analysis Framework for Mining Geospatial Datasets,” presented at the First International Conference on Space, Time, and CyberGIS (CyberGIS’12), University of Illinois at Urbana-Champaign, Champaign, IL, USA, August 6-9, 2012.
S. Wang*, C. Chen, V. Rinsurongkawong, F. Akdag, C. F. Eick, “Polygon-based Methodology for Mining Related Spatial Datasets,” in Proceedings of the 18th ACM SIGSPATIAL Conference on Advances in Geographic Information Systems Workshop(ACM GIS) on Data Mining for Geoinformatics (DMGI), San Jose, CA, USA, November 6-9, 2010.