Latest Publications

Below are publications that originated from the research group or the taught MSc degree.

  • Yourell P. and M. Hofmann (2017) Do gender and the presence of children have an influence on telecommuting practices?, 44th Annual Conference “Sociological Futures”, Sociological Association of Ireland, Belfast, UK.
  • Singh, L. and M. Hofmann (2017) Dynamic Behavior Analysis of Android Applications for Malware Detection, International Conference on Intelligent Communication and Computational Techniques, Jaipur, India.
  • Patel, S.; Nolan, B.; Hofmann, M. ; Owende, P. ; Patel, K. (2017), ‘Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques’, World Academy of Science, Engineering and Technology, International Science Index 126, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 11(6), 624 – 630.
  • Patel S., Nolan B., Hofmann M., Owende P. and K. Patel (2017) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques, 19th International Conference on Machine Learning and Applications, Copenhagen, Denmark.
  • O’Brien M. and M. Hofmann (2017) The Potential of Learning Outcomes analytics, EdTech Conference, Irish Learning Technology Association (ILTA), Sligo, Ireland.
  • Keane M. and M. Hofmann (2017) An Investigation into Third Level Module Similarities and Link Analysis, 3rd International Conference on Higher Education Advances (HEAd’17), Valencia, Spain.
  • Goslin, K. and M. Hofmann (2017) A Wikipedia Powered State-based Approach to Automatic Search Query Enhancement, Journal of Information, Processing and Management, Volume 53, Issue 5, December 2017, Pages 1005-1025
  • Hofmann, M. and R. Klinkenberg (Eds.) (2016) RapidMiner: Data Mining and Business Application Use Cases, Second Edition, Taylor & Francis, CRC Press, USA.
  • Gray, G., McGuinness, C., Owende, P., and Hofmann, M. (2016) Learning Factor Models of Students at Risk of Failing in the Early Stage of Tertiary Education, Journal of Learning Analytics, 3(2): 330–372, September 2016.
  • McSweeney D., Hofmann M., Gray G. and L. Keyes (2015) Lessons Learned from Teaching Data Analytics in a Fully Online Mode at Postgraduate Level, Higher Education in Transformation Conference, Dublin, Ireland.
  • Hofmann, M. and A. Chisholm (Eds.) (2015) Text Mining and Visualisation – Case Studies using Open-Source Tools. Taylor & Francis, CRC Press, USA.
  • Tsatsoulis, C. and M. Hofmann (2014) Focusing on Maximum Entropy Classification of Lyrics by Tom Waits. Proceedings of 4th IEEE International Advance Computing Conference, New Delhi, India.
  • Tristan O’Gorman and M. Hofmann (2014) Text Mining on Software Patents, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Ryan, J. and M. Hofmann (2014) Analysing the Irish 2011 General Election Party Manifestos and Irish Political Statements from the Irish Parliament using Text Analysis. Proceedings of 4th IEEE International Advance Computing Conference, New Delhi, India.
  • Ryan J. and M. Hofmann (2014) Sentiment Versus Polarity within Tokens and Sentences, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Hofmann, M. and G. Muntean (Eds) (2014) , Towards the Internet of Things: Issues, Challenges and Approaches, Proceedings of the 13th Information Technology and Telecommunication Conference,  ISSN: 1649-1246.
  • Colton D. and M. Hofmann (2014) Automated Detection of Cyberbullying, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Causer S. and M. Hofmann (2014) Comparison of Video Game Classification Schemes Utilising Web Mining Techniques, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Carter, B. and M. Hofmann (2014) An analysis into using unstructured non-expert text in the illicit drug domain. Proceedings of 4th IEEE International Advance Computing Conference, New Delhi, India.
  • Ryan J. and M. Hofmann (2013) Communities and Crime: Creating a Data Mining Prediction Model (Identify Future Crimes given the Socioeconomic Background in an Area), 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Hofmann and E. Fallon (2013) Small Devices, Big Data, Real Challenges (eds), Proceedings of the 12th Information Technology and Telecommunication Conference, ISSN: 1649-1246
  • Kirwan E. and M. Hofmann (2013) Predicting Premiership Football Match Results (Machine vs. Men – Can predictive models outperform human experts?), 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Hofmann, M., Gray, G. and L. Keyes (2013) Teaching Data Analytics in a Fully Online Mode at Postgraduate Level, Conference Proceedings of Big Data and Analytics EdCon, Las Vegas, USA.
  • Hofmann, M. and R. Klinkenberg (Eds.) (2013) RapidMiner: Data Mining and Business Application Use Cases. Taylor & Francis, CRC Press, USA.
  • Goslin, K. and M. Hofmann (2013) Identifying and Visualizing the Similarities Between Course Content at a Learning Object, Module and Program Level, Sixth International Conference on Educational Data Mining 2013. Memphis, Tennessee.
  • Goslin, K. and M. Hofmann (2013) Cross Domain Assessment of Document to HTML Conversion Tools to Quantify Text and Structural Loss During Document Analysis, FORTAN Workshop, Intelligence and Security Informatics Conference (EISIC 2013), Uppsala, Sweden.
  • Goslin K. and M. Hofmann (2013) Utilization of Text And Document Context in Large Content Repositories to Aid Environment Specific Search, 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Galvin E. and M. Hofmann (2013) Speech Analysis of the 2012 American Presidential Election, 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Hofmann (2012) ICT for a more Sustainable Planet (eds), Proceedings of the 11th Information Technology and Telecommunication Conference, ISSN: 1649-1246
  • Goslin and Hofmann, M. (2012) Enriching the learning experience through interactive course content, Moodle Moot UK & Ireland, Crowne Plaza Hotel, Northwood, Dublin, Ireland.
  • Goslin K. and M. Hofmann (2012) Extraction of VLE course hierarchy for the creation of tree based context specific metadata, 11th International Information Technology and Telecommunication Conference, Cork, Ireland.
  • Nolan, B., Hofmann, M. and L. Leeson (2010) Moodle innovation for teaching Irish Sign Language at 3rd level: Providing access with flexible delivery online. Proceedings of the Conference on Frontiers in Education: Computer Science and Computer Engineering. Las Vegas, USA.
  • Hofmann, M., Morrison, J. and P. Doyle (2010) RESEARCH—Driving the Knowledge Economy (eds), Proceedings of the 10th Information Technology and Telecommunication Conference, ISSN: 1649-1246
  • Hofmann, M., Goslin, K., Nolan, B. and L. Leeson (2010) Development of a Moodle VLE Plugin to Support Simultaneous Visualisation of a Collection of Multi-Media Sign Language Corpora Objects, Representation and Processing of Sign Languages: Corpora and Sign Language Technologies, Conference on Language Resources and Evaluation, Malta.
  • Hofmann, M, Wilson, S. and P. White (2010) How ‘Good’ is Urban Bus Electronic Fare Collection Data?, Conference Proceedings of the World Conference of Transport Research, Lisbon, Portugal.
  • Goslin, K. and M. Hofmann (2010) Interactive Visual Map Tool for Moodle, 10th International Information Technology and Telecommunication Conference, Letterkenny, Ireland.
  • Goslin, K. and M. Hofmann (2010) Integrated Tutorial Tool for RapidMiner 5, RCOMM 2010, University of Dortmund, Germany.
  • Hofmann and B. Tierney (2009) Development of an Enhanced Generic Data Mining Life Cycle. ITB Journal, Issue 18, pp. 50-71, December 2009.
  • Hofmann, M., Wilson, S. and White, P. (2009) Automated Identification of Linked Trips at Trip Level Using Electronic Fare Collection Data. Washington, D.C., USA, Transportation Research Board (CD-ROM).
  • Hofmann, M., Gray, G. and L. Keyes (2009) Visualisation of Multi-dimensional Learning Objects in Moodle. Proceedings of the Irish Educational Technology Users’ Conference, EdTech 2009, Dublin, Ireland.
  • Hofmann, M., Deegan, M. and P. Murnion (2009) Ubiquitous and Green Computing – The Challenges Facing Computing Systems in Presenting Ubiquitous Computing in an Environmentally Sustainable Manner (eds), Proceedings of the 9th Information Technology and Telecommunication Conference, HP Publishing, ISSN: 1649-1246
  • Hofmann, M. and Tierney, B. (2009) An Enhanced Data Mining Life Cycle. IEEE Symposium on Computational Intelligence and Data Mining. Proceedings, Nashville, USA.
  • Hofmann, M. and M. Smith (2009) Compatibility Challenges for Mobile Learning Objects. Proceedings of the Irish Educational Technology Users’ Conference, EdTech 2009, Dublin, Ireland.
  • Goslin, K. Hofmann, M. and G. Gray (2009) Development of a Moodle Course Content Filter using Meta Data, 9th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Hofmann, M. Murnion, P. and Nolan, B. (2008) Virtual Systems and Digital Convergence in a Knowledge Society (eds), Proceedings of the 8th Information Technology and Telecommunication Conference, HP Publishing, ISSN: 1649-1246
  • Muntean, G-M, Hofmann, M. and Nolan, B. (2007) Digital Convergence in a Knowledge Economy (eds), Proceedings of the 7th International Information Technology and Telecommunication Conference, SNAP Publishing, ISSN: 1649-1246
  • Hofmann, M. and Tierney, B. (2007) Development Phases of a Generic Data Mining Life Cycle (DMLC), International Conference on Software Engineering Theory and Practice. Proceedings, Orlando, USA.
  • Tseytin, Hofmann, M., O’Mahony M. and Lyons, D. (2006) Tracing Individual Public Transport Customers from an Anonymous Transaction Database. Journal of Public Transportation, Vol. 9, 4.