Items where Author is "Chen, D"

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Number of items: 12.

Article

Guo, Z.H.I.G.A.O., Gao, X.I.A.O.G.U.A.N.G., Hao, R.E.N., Yang, Y.U., Di, R.U.O.H.A.I., and Chen, D. (2017). Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method. International Journal of Approximate Reasoning, 91(Dec), 22-35. doi: https://doi.org/10.1016/j.ijar.2017.08.009

Chen, D. (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Journal of Database Marketing and Customer Strategy Management, 19(3), 197-208. doi: https://doi.org/10.1057/dbm.2012.17

Conference or Workshop Item

Chen, D., Sanz, B.M., and Zhao, E. (2018). Visual analytics in the public sector: An analysis on diversities and similarities of London’s wards. Paper presented at International Conference on Big Data Analytics, Data Mining and Computational Intelligence 2018 (BigDaCI 2018), Madrid, Spain, 18 July 2018 - 20 July 2018. Bigdaci.

Adegoke, V., Chen, D., Barikzai, S., and Banissi, E. (2017). Predictive Ensemble Modelling: An Experimental Comparison of Boosting Implementation Methods. Paper presented at 2017 European Modelling Symposium (EMS), Manchester, 20 November 2017 - 21 November 2017. London South Bank University.

Adegoke, V., Chen, D., Banissi, E., and Barikzai, S. (2017). Prediction of Breast Cancer Survivability using Ensemble Algorithms. Paper presented at International Conference on Smart System and Technologies 2017 (SST 2017),, Osijek, Croatia, 18 October 2017 - 20 October 2017. London South Bank University.

Chen, D. (2017). Feature Extraction and Labelling Large Data Sets Using Deep Learning. Paper presented at RESEARCHER LINK: Smart Technology for Fighting Virus Epidemics & Bioinformatics, Recife, Pernambuco, Brazil, 10 September 2017 - 13 September 2017. London South Bank University.

Gao, X., Yu, Y., Zhi-gao, G., and Chen, D. (2016). A Bayesian Approach to Learn Bayesian Networks Using Data and Constraints. Paper presented at 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, México, 04 December - 08 December 2016. London South Bank University. doi: https://doi.org/10.1109/ICPR.2016.7900204

Chen, D. (2016). On Distributed Deep Network for Processing Large-Scale Sets of Complex Data. Paper presented at 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Hangzhou, China, 27 Aug 2016 - 28 Aug 2016. London South Bank University.

Chen, D., Asaolu, B., and Qin, C. (2016). BIG DATA ANALYTICS IN THE PUBLIC SECTOR: A CASE STUDY OF NEET ANALYSIS FOR THE LONDON BOROUGHS. Paper presented at International Conference on Big Data Analytics, Data Mining and Computational Intelligence, Funchal, Madeira, Portugal, 2 July 2016 - 4 July 2016. London South Bank University.

Chen, D. (2016). Making Better Use of Big Data. Paper presented at LSBU Enterprise Count Event, March 2016, London Southbank University, 18 March 2016 - 18 March 2016. London South Bank University.

Chen, D. (2015). Big Data Analytics System for Fact/Data-driven Decision Making. Paper presented at The Royal Statistical Society, Business and Industry Section, London, UK, 18th November 2015. London South Bank University.

Chen, D., and Elliott, G. (2013). Determining Key (Predictor) Modules for Early Identification of Students At-Risk. Paper presented at International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013), Beijing, China, 19 December 2013 - 20 December 2013. London South Bank University. doi: https://doi.org/10.2991/icaiees-13.2013.22

This list was generated on Thu Oct 18 04:07:58 2018 BST.