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Dr Jing Lu joined the University of Winchester in August 2016 as a Senior Lecturer in Data Analytics. She is a research-active academic in computer science and informatics with extensive experience of teaching in higher education – previously as a Senior Lecturer/Associate Professor at Southampton Solent University and in China.

Areas of expertise

  • ​Data Mining, Modelling and Management
  • Information Systems Applications
  • Knowledge Discovery in Databases


  • Lu, J., Wang, C.Q., Keech, M. (2017), “A Novel Approach to Knowledge Discovery and Representation in Biological Databases”, International Journal of Bioinformatics Research and Applications Vol. 13, No. 4, pp.352-375
  • Lu, J., Keech, M., Chen, W.R., Wang, C.Q. (2013) Concurrent sequential patterns mining and frequent partial orders modelling. International Journal of Business Intelligence and Data Mining Vol. 8, No. 2, pp.132-154
  • Chen, W.R., Lu, J., Keech, M. (2010) Discovering exclusive patterns in frequent sequences. International Journal of Data Mining, Modelling and Management Vol. 2, No. 3, pp.252-267
  • Lu, J., Chen, W.R., Keech, M. (2010) Graph-based modelling of concurrent sequential patterns. International Journal of Data Warehousing and Mining Vol. 6, No. 2, pp.41-58
  • Lu, J., Chen, W.R., Adjei, O., Keech, M. (2008) Sequential patterns post-processing for structural relation patterns mining. International Journal of Data Warehousing and Mining Vol. 4, No. 3, pp.71-89


  • Lu, J., Hales, A., Rew, D. (2017) Modelling of cancer patient records: A structured approach to data mining and visual analytics. Proceedings of the 8th International Conference on IT in Bio- and Medical Informatics, Lyon; LNCS 10443, Springer International Publishing AG, pp.30-51
  • Lu, J., Hales, A., Rew, D., Keech, M. (2016) Timeline and episode-structured clinical data: Pre-processing for data mining and analytics. Proceedings of the 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki – Workshop on Health Data Management and Mining, pp.64-67
  • Lu, J., Hales, A., Keech, M., Rew, D. (2016) Modelling of cancer patient records: Challenges for big data analytics. 8th IMA Conference on Quantitative Modelling in the Management of Health and Social Care, London, March 2016
  • Mills-Mullett, A., Lu, J. (2015) Mining fuzzy time-interval patterns in clinical databases. Proceedings of the 35th International Conference on AI, Cambridge; Proceedings AI-2015, Springer International Publishing Switzerland, pp.399-404
  • Lu, J., Hales, A., Rew, D., Keech, M., Fröhlingsdorf, C., Mills-Mullett, A., Wette, C. (2015) Data mining techniques in health informatics: A case study from breast cancer research. Proceedings of the 6th International Conference on IT in Bio- and Medical Informatics, Valencia; LNCS 9267, Springer International Publishing Switzerland, pp.56-70
  • Lu, J., Keech, M. (2015) Emerging technologies for health data analytics research: A conceptual architecture. 2nd International Workshop on NoSQL Databases, Valencia; Proceedings of DEXA 2015, IEEE Computer Society, pp.225-229
  • Lu, J., Keech, M., Wang, C.Q. (2014) Protein data modelling for concurrent sequential patterns. 5th International Workshop on Biological Knowledge Discovery and Data Mining, BIOKDD 2014, Munich; Proceedings of DEXA 2014, IEEE Computer Society, pp.5-9
  • Wang, C.Q., Lu, J., Keech, M. (2014) Applications of concurrent sequential patterns in protein data mining. Proceedings of the 10th International Conference on Machine Learning and Data Mining, MLDM 2014, St. Petersburg; LNAI 8556, Springer International Publishing Switzerland, pp.243-257
  • Lu, J., Keech, M., Wang, C.Q. (2013) Applications of concurrent access patterns in web usage mining. Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013, Prague; LNCS 8057, Springer-Verlag Berlin Heidelberg, pp.339-348
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