Dawei Wang
Dawei Wang
PhD in Computer Science, University of Mass. Boston
Verified email at umb.edu
Title
Cited by
Cited by
Year
Crime hotspot mapping using the crime related factors—a spatial data mining approach
D Wang, W Ding, H Lo, T Stepinski, J Salazar, M Morabito
Applied intelligence 39 (4), 772-781, 2013
662013
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns
D Wang, W Ding, H Lo, M Morabito, P Chen, J Salazar, T Stepinski
Computers, Environment and Urban Systems 39, 93-106, 2013
502013
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification
D Wang, W Ding, K Yu, X Wu, P Chen, DL Small, S Islam
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
162013
Using modeled runoff to study DOC dynamics in stream and river flow: A case study of an urban watershed southeast of Boston, Massachusetts
YQ Tian, D Wang, RF Chen, W Huang
Ecological Engineering 42, 212-222, 2012
132012
A hierarchical pattern learning framework for forecasting extreme weather events
D Wang, W Ding
2015 IEEE International Conference on Data Mining, 1021-1026, 2015
122015
Tornado forecasting with multiple Markov boundaries
K Yu, D Wang, W Ding, J Pei, DL Small, S Islam, X Wu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
112015
Effective classification for crater detection: A case study on Mars
J Wang, W Ding, B Fradkin, CH Pham, P Sherman, BD Tran, D Wang, ...
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 688-695, 2010
82010
An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting
Y Zhuang, K Yu, D Wang, W Ding
2016 IEEE 13th International Conference on Networking, Sensing, and Control …, 2016
72016
Optimization of criminal hotspots based on underlying crime controlling factors using geospatial discriminative pattern
D Wang, W Ding, T Stepinski, J Salazar, H Lo, M Morabito
International Conference on Industrial, Engineering and Other Applications …, 2012
52012
Contrast Pattern Based Methods for Visualizing and Predicting Spatiotemporal Events
D Wang
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1560-1567, 2015
2015
Local Learning on High Dimension, Imbalanced, and Noisy Data: A Framework for Long-Lead Extreme Precipitation Clusters Forecasting
D Wang, W Ding, Y Mu, DL Small, S Islam
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Articles 1–11