| 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, 772-781, 2013 | 108 | 2013 |
| 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 | 88 | 2013 |
| A hierarchical pattern learning framework for forecasting extreme weather events D Wang, W Ding 2015 IEEE international conference on data mining, 1021-1026, 2015 | 30 | 2015 |
| 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 | 28 | 2013 |
| 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 | 19 | 2012 |
| 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 | 16 | 2015 |
| 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 | 15 | 2016 |
| 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 | 10 | 2010 |
| 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 Advanced Research in Applied Artificial Intelligence: 25th International …, 2012 | 9 | 2012 |
| Contrast pattern based methods for visualizing and predicting spatiotemporal events D Wang 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1560-1567, 2015 | 4 | 2015 |
| Com puters, Environ ment and Urban System s D Wang, W Ding, H Lo, M Morabito, P Chen, J Salazar, T Stepinski Computers, Environment and Urban Systems 39, 107-120, 2013 | 1 | 2013 |
| Data mining methods for analyzing and modeling spatiotemporal data D Wang University of Massachusetts Boston, 2016 | | 2016 |
| 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 | | |
Wei Ding, Fellow of IEEEProfessor of Computer Science, University of Massachusetts BostonVerifisert e-postadresse på umb.edu
