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K.D.I.S - Knowledge Discovery and Intelligent Systems


KDIS’s objective is to solve problems in domains where knowledge is embedded in humans as well as structured and unstructured data. We develop systems, methods, techniques, and algorithms in the sub-disciplines of artificial intelligence (data mining, machine learning/deep learning), computational linguistics, big data, decision support systems, and knowledge management systems.

Potential Applications: 

The research projects in this group focus on various domains such as agriculture, healthcare, security, sports. 

This research has produced numerous publications which include:


1. Knowledge Management for Development: Domains, Strategies and Technologies for Developing Countries (2014), Springer, Integrated Series in Information Systems. Editors Osei-Bryson, K. M., Mansingh G., and Rao L. 

Journal Articles:

  1.  Anderson R. and Mansingh G. (2016). Towards a Comprehensive Process Model for Transitioning MIS to KMS. International Journal of Knowledge Management (IJKM), 12(1), 1-17, doi: 10.4018/IJKM.2016010101.
  2. Miller, K. and Mansingh, G. (2015). OptiPres: A distributed mobile agent decision support system for optimal patient drug prescription, Information Systems Frontiers, Springer, 19(1), pages 129-148, doi:10.1007/s10796-015-9595-9.
  3. Miller K. and Mansingh G. (2015). Comparing the use of Mobile Intelligent Agents vs Client Server Approach in a Distributed Mobile Health Application. Journal of Computers,10(6), pp 365-373, ISSN:1796-293X, doi: 10.17706/jcp.10.6.365-373.
  4. Mansingh G., Osei-Bryson K.M. and Asnani M. (2015). Exploring the Antecedents of the Quality of Life of patients with Sickle Cell Disease: Using a Knowledge Discovery and Data Mining process model-based framework, Health Systems, Palgrave MacMillan, 5(1), 52-65,
  5. Uwaoma C. and Mansingh G. (2014). Detection and Classification of Abnormal Respiratory Sounds on a Resource-constraint Mobile Device. International Journal of Applied Information Systems (IJAIS). ISSN: 2249-0868, 7(11), pp 35-40.
  6. Anderson R. and Mansingh G. (2014). Data Mining Approach to Decision Support in Social Welfare. International Journal of Business Intelligence Research (IJBIR). IGI Global, 5(2), pp 39-61, April-June 2014.
  7. Mansingh G., Rao L., Osei-Bryson K. M. and Mills A. (2015). Profiling Internet Banking Users: A Knowledge Discovery in Data Mining Process Model-Based Approach. Information Systems Frontiers, Springer, DOI: 10.1007/s10796-012-9397-2. 17(1), 193-215.

Chapters in Books:

  1. Jones D. J. and Mansingh G. (2018), An Argument for Post-Hoc Collective Intelligence, Lecture Notes in Computer Science 2018, Designing for a Digital and Globalized World, Volume 10844 Publisher Springer.
  2. Mansingh G., Rao L., McNaughton M. (2017) Discovering Knowledge Nuggets in Financial Data: The Case of a Financial Services Institution. In: Rocha Á., Correia A., Adeli H., Reis L., Costanzo S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, Vol. 570, pp. 518-527, Publisher Springer, ISBN 978-3-319-56537-8.
  3. Anderson, R., & Mansingh, G. (2015). KIISA: Towards a Reference Architecture for Integrated Knowledge Services. In Intelligent Systems' 2014, Advances in Intelligent Systems and Computing, 323, pp. 247-257, Publisher Springer, ISBN 978-3-319-11309-8.

Peer-Reviewed Papers - Conference Proceedings:

  1. Jones D. J. and Mansingh G. (2018). Identifying Corroborated and Contradicted Claims Among Witness Statements using Post-Hoc Collective Intelligence, Proceedings of the Fourth IEEE Machine Learning and Natural Language Processing (MNLP), Marrakech, Morocco, October 21-24, 2018. 
  2. Uwaoma, C. and Mansingh, G. (2018). Certainty Modeling of a Decision Support system for Mobile Monitoring of Exercise-Induced Respiratory Conditions, In Proceeding of the 51st Hawaii International Conference on System Sciences (HICSS-51), January 3-6, 2018, Hawaii, U.S.A., pp. 2957-2966. Available: URI/DOI:
  3. Anderson, R. and G. Mansingh (2017). “A Workflow Management System for Knowledge Management Initiatives”. In Proceedings of the 23rd Americas Conference on Information Systems (AMCIS 2017), August 10-12, 2017, Boston, MA.
  4. Anderson, R. and G. Mansingh (2017). “Knowledge Management and WfMS Integration”. In Proceedings of the 16th International Conference on Information & Knowledge Engineering, IKE'17: 2017, July 17-20, Las Vegas, USA.
  5. Mansingh G., Osei-Bryson K.-M., Rao L. and McNaughton M. (2016). Market Basket Analysis in the Financial Sector – A Customer-Centric Approach. Pre-ICIS SIGDSA/IFIP WG8.3 Symposium, December 10-11, 2016, Dublin, Ireland.
  6. Jones D. and Mansingh G. (2016). Not Just Dissimilar, but Opposite An Algorithm for Measuring Similarity and Oppositeness between Word. In Proceedings of Third IEEE International Conference on Data Science and Engineering ICDSE, August 23-25, 2016, Kerala, India. Available on IEEE Xplore DOI: 10.1109/ICDSE.2016.7823936
  7. Mansingh G., Osei-Bryson K.-M., Rao L. and McNaughton M. (2016). Data Preparation: Art or Science? In Proceedings of Third IEEE International Conference on Data Science and Engineering ICDSE, August 23-25, 2016, Kerala, India. Available on IEEE Xplore DOI: 10.1109/ICDSE.2016.7823936
  8. Anderson R. and Mansingh G. (2016). KMI-IWS: Towards a Framework for a Knowledge Management Initiative Intelligent Work-Flow System. The Eighth International Conference on Advanced Cognitive Technologies and Applications, COGNITIVE 2016, March 20 - 24, 2016 - Rome, Italy.
  9. Maitland N., Osei-Bryson K.-M. and Mansingh G. (2015). “A Conceptual Model of an Information Security Domain Knowledge Base”. In Proceedings of the 8th Annual SIG GlobDev Pre-ICIS Workshop, Theme - Information and Communications Technology Innovations for Sustainable Global Development, December 14, 2015, Fort Worth, Texas, USA. ISBN Number: 978-0-982-6068-9-6,
  10. Uwaoma C. and Mansingh G. (2015). Towards Real-time Monitoring and Detection of Asthma Symptoms on Resource-constraint Mobile Device. In proceedings of 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA, January 9-12, 2015, ISBN: 978-1-4799-6389-8, pp 53-58.
  11. Uwaoma C. and Mansingh G. (2014). Using Embedded Sensors in Smartphones to Monitor and Detect Early Symptoms of Exercise-induced Asthma. Proceedings: Third International Conference on Sensor Networks (SENSORNETS 2014), Lisbon, Portugal, January 7-9, 2014, Paper # 61, pp 145-150.
  12. Miller K. and Mansingh G. (2013). Towards a Distributed Mobile Agent Decision Support System for Optimal Patient Drug Prescription. Proceedings:  Third International Conference on Innovative Computing Communication Technology (INTECH 2013), IEEE, London, U.K., August 29-31, 2013, ISBN: 978-1-4799-0047-3, pp 233-238.
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