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Derek Greene
Derek Greene
Biography
- Research Interests:
Biography
Research Interests
Machine learning, data mining, social network analysis, social media analytics, sentiment analysis, bioinformaticsAcademic Experience
2009- Research Fellow, CLIQUE Research Cluster, School of CSI, UCD, Ireland 2006-2009 Postdoctoral Research Fellow, School of CSI, UCD, Ireland 2003 Research Assistant, NTRG, Dept. Computer Science, Trinity College Dublin, Ireland Professional Experience
2002 IBM Software Group, Dublin, Ireland 2000 Iona Technologies, Boston, MA 1999 Exceptis Technologies (Trintech Group), Dublin, Ireland. 1998 Galileo Ireland, Dublin, Ireland. Education
2003-2006 Ph.D., Trinity College Dublin, Ireland 1999-2003 B.A. (Mod.) ICT (Hon, 1), Trinity College Dublin, Ireland Publications
Peer Reviewed Journals:
- S.J. Delaney, M. Buckley, and D. Greene. (2012). SMS Spam Filtering: Methods and Data. Journal of Expert Systems with Applications (ESWA), Elsevier.
- C. Ryan, D. Greene, G. Cagney, and P. Cunningham. (2010). Missing value imputation for epistatic maps. BMC Bioinformatics, 11(1):197.
- D. Greene, J. Freyne, B. Smyth, and P. Cunningham. (2010). An Analysis of Current Trends in CBR Research Using Multi-View Clustering. AI Magazine, Summer 2010.
- A. Narasimhamurthy, D. Greene, N. Hurley, and P. Cunningham. (2009) Partitioning Large Networks Without Breaking Communities. Knowledge and Information Systems.
- D. Greene, G. Cagney, N. Krogan, and P. Cunningham. (2008) Ensemble Non-negative Matrix Factorization Methods for Clustering Protein-Protein Interactions. Bioinformatics, 24(15):1722–1728
[DOI Link]
Conference Publications:
- Greene, D., Reid, F., Sheridan, G. & Cunningham, P. (2011). Supporting the curation of Twitter user lists. In 2nd Workshop on Computational Social Science and the Wisdom of Crowds at NIPS 2011.
- Lee, C., Greene, D. & Cunningham, P. (2011). Detecting grand tours of Europe with geo-tags. In 2nd Workshop on Computational Social Science and the Wisdom of Crowds at NIPS 2011.
- Brew, A., Greene, D., Archambault, D. & Cunningham, P. (2011). Deriving insights from national happiness indices. In Proc. ICDM 2011 Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE), Vancouver, Canada.
- Wade, K., Greene, D., Lee, C., Archambault, D. & Cunningham, P. (2011). Identifying Representative Textual Sources in Blog Networks. In Proc. 5th International AAAI Conference on Weblogs and Social Media (ICWSM’11)
- Archambault, D., Greene, D., Cunningham, P. & Hurley, N. (2011). ThemeCrowds: Multiresolution Summaries of Twitter Usage. In Proc. 3rd International Workshop on Search and Mining User-generated Contents (SMUC) at CIKM 2011, Glasgow, Scotland.
- Ryan, C., Greene, D., Cagney, G., Guenole, A., van Attikum, H., Krogan, N. & Cunningham, P. (2011). Improved functional overview of protein complexes using inferred epistatic relationships. BMC Systems Biology, 5(1):80.
- Greene, D. and Cunningham, P. (2010) Spectral Co-Clustering for Dynamic Bipartite Graphs. In Proc. Workshop on Dynamic Networks and Knowledge Discovery at ECML'10.
- K. Foley, D. Greene, and P. Cunningham (2010). Optimizing Conflicting Objectives in NMF Using Pareto Simulated Annealing. In Proc. 21st Irish Conference on Artificial Intelligence and Cognitive Science (AICS'10) - Best Paper Award.
- D. Greene, D. Doyle, and P. Cunningham (2010). Tracking the evolution of communities in dynamic social networks. In Proc. International Conference on Advances in Social Networks Analysis and Mining (ASONAM’10) - Second Best Paper Award.
- G. Wu, D. Greene, and P. Cunningham (2010). Merging multiple criteria to identify suspicious reviews. In Proc. 4th ACM Conference on Recommender Systems (RecSys'10) - Best Short Paper Award.
- A. Brew, D. Greene, and P. Cunningham (2010). Using Crowdsourcing and Active Learning to Track Sentiment in Online Media. In Proceedings of the 6th Conference on Prestigious Applications of Intelligent Systems (PAIS’10).
- G. Wu, D. Greene, B. Smyth, and P. Cunningham. (2010) Distortion as a validation criterion in the identification of suspicious reviews. In 1st Workshop on Social Media Analytics (SOMA'10).
- A. Brew, D. Greene, and P. Cunningham (2010) Taking the Pulse of the Web: Assessing Sentiment on Topics in Online Media. Proceedings of the WebSci'10: Extending the Frontiers of Society On-Line.
- Greene, D. and Cunningham, P. (2009) A Matrix Factorization Approach for Integrating Multiple Data Views European Conference on Machine Learning (ECML'09), Bled, Slovenia [Details]
- A. Brew, D. Greene, and P. Cunningham. (2009) A Machine Learning System for Tracking Sentiment in Irish Economic News 20th Irish Conference on Artificial Intelligence and Cognitive Science (AICS'09) [Details]
- D. Greene and P. Cunningham (2009) Multi-view clustering for mining heterogeneous social network data Workshop on Information Retrieval over Social Networks, 31st European Conference on Information Retrieval (ECIR'09) [Details]
- D. Greene, K. Bryan and P. Cunningham (2008) Parallel Integration of Heterogeneous Genome-Wide Data Sources 8th International Conference on BioInformatics and BioEngineering (BIBE 2008) Athens, Greece, [Details]
- D. Greene, J. Freyne, B. Smyth, and P. Cunningham. (2008) An Analysis of Research Themes in the CBR Conference Literature 9th European Conference on Case-Based Reasoning (ECCBR'08) Trier, Germany, [Details]
- A. Narasimhamurthy, D. Greene, N. Hurley, and P. Cunningham. (2008) Community Finding in Large Social Networks Through Problem Decomposition 19th Irish Conference on Artificial Intelligence and Cognitive Science (AICS'08) Cork, Ireland, [Details]
- D. Greene, P. Cunningham (2007) Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-Supervised Clustering 18th European Conference on Machine Learning (ECML'07) Warsaw, Poland, [Details]
- D. Greene, P. Cunningham. (2006) Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering 23rd International Conference on Machine learning (ICML'06) Pittsburgh, , pp.377-384 [Details]
- D. Greene, P. Cunningham. (2006) Efficient Prediction-Based Validation for Document Clustering 17th European Conference on Machine Learning (ECML'06) Berlin, Germany, , pp.663-670 [Details]
- D. Greene, P. Cunningham. (2005) Producing Accurate Interpretable Clusters from High-Dimensional Data 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05) Porto, Portugal, , pp.486-494 [Details]
- D. Greene, A. Tsymbal, N. Bolshakova, P. Cunningham. (2004) Ensemble Clustering in Medical Diagnostics 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04) , pp.576-581 [Details]
- D. Greene, D. O'Mahony (2004) Instant Messaging & Presence Management in Mobile Ad-Hoc Networks 2nd IEEE Annual Conference on Pervasive Computing and Communications Workshops (PERCOMW'04) , pp.55-59 [Details]
Book Chapters:
- D. Greene, P. Cunningham, and R. Mayer (2008) 'Unsupervised learning and clustering' In: M. Cord and P. Cunningham (eds). Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval. Paris: Springer. [Details]
Other Publications:
- A. Brew, D. Greene, P. Cunningham (2010) Is it Over Yet? Learning to Recognize Good News in Financial Media. University College Dublin: Technical Publication [Details]
- D. Greene, P. Cunningham (2006) Efficient Ensemble Methods for Document Clustering. Trinity College Dublin: Technical Publication [Details]
- D. Greene, P. Cunningham. (2007) An Ensemble Approach to Identifying Informative Constraints for Semi-Supervised Clustering. School of Computer Science and Informatics, UCD, Ireland: Technical Publication [Details]
Research
Research Interests:
Current Research
Machine learning: Development of novel cluster analysis and semi-supervised learning algorithms, with a particular focus on their application in text mining tasks, including thematic document clustering and sentiment analysis.
Social network analysis: Application of large-scale matrix analysis and community finding algorithms to multi-relational graphs representing online communities and bibliographic networks.
Bioinformatics: Exploration of gene expression datasets, protein-protein interaction networks, and genetic interaction maps. Integration of diverse biological datasets, such as proteomics data and biomedical document collections.
This work is undertaken as part of the SFI-funded DaM-BUST Project at UCD.
PhD Thesis:
A State-of-the-Art Toolkit for Document Clustering
This work provides a new framework supporting the development of applications for exploratory text mining tasks. As well as allowing researchers to apply popular learning algorithms to large document collections, the framework introduces a variety of novel data analysis procedures based on kernel learning, cluster ensembles, and matrix decomposition methods.
