Dr Anthony Constantinou
Lecturer
Email: a.constantinou@qmul.ac.ukRoom Number: Peter Landin, CS 332Website: http://www.constantinou.info/
Teaching
Data Analytics (Undergraduate/Postgraduate)
This module focuses on the range of approaches, methodologies, techniques and tools for data analysis, and the use of data analysis findings to inform decision-making in an industrial / business context. It exposes students to a range of industry-standard statistical and data analysis techniques and tools, and fosters awareness of the challenges associated with working with large datasets. The module also covers topics related to the legal, social, ethical and professional issues associated with data storage and analysis. Students will undertake practical work including empirical data analysis and summarisation / presentation of the results to a range of relevant stakeholders.
Data Mining (Postgraduate/Undergraduate)
Data that has relevance for decision-making is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the Internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and electronic patient records. Data mining is a rapidly growing field that is concerned with developing techniques to assist decision-makers to make intelligent use of these repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This module will combine practical exploration of data mining techniques with a exploration of algorithms, including their limitations. Students taking this module should have an elementary understanding of probability concepts and some experience of programming.
Research
Research Interests:
My research interests lie in Bayesian Artificial Intelligence, including causal discovery, game theory, statistical machine learning, uncertainty quantification, data and decision sciences. I specialise in Bayesian Network (BN) theory and modelling for prediction, uncertainty quantification, risk and decision analysis in real-world problems. I apply my research to a wide range of fields including sports, forensics, project management, medicine, property market, agriculture, software reliability, gambling and gaming.Publications
-
CONSTANTINOU AC (2018). Dolores: A model that predicts football match outcomes from all over the world. nameOfConference
-
CONSTANTINOU AC, FENTON N (2018). Things to know about Bayesian networks. nameOfConference
-
Yet B, Neil M, Fenton N et al. (2018). An improved method for solving Hybrid Influence Diagrams. nameOfConference
-
Yet B, Constantinou A, Fenton N et al. (2018). Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. nameOfConference
-
CONSTANTINOU AC, Fenton N (2017). The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks. nameOfConference
-
CONSTANTINOU AC, Fenton NORMAN (2017). Towards Smart-Data: Improving predictive accuracy in long-term football team performance. nameOfConference
-
Fenton N, Neil M, Lagnado D et al. (2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. nameOfConference
-
Yet B, CONSTANTINOU AC, Fenton N et al. (2016). A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study. nameOfConference
-
CONSTANTINOU AC, FENTON N, NEIL M (2016). Integrating expert knowledge with data in causal probabilistic networks: Preserving data-driven expectations when the expert variables remain unobserved. nameOfConference
-
Constantinou AC, Fenton N, Marsh W et al. (2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support.. nameOfConference
-
Constantinou AC, Fenton NE (2016). Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance.. nameOfConference
-
Constantinou AC, Yet B, Fenton N et al. (2016). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. nameOfConference
-
Constantinou AC, Yet B, Fenton N et al. (2016). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.. nameOfConference
-
Constantinou AC, Freestone M, Marsh W et al. (2015). Risk assessment and risk management of violent re-offending among prisoners. nameOfConference
-
CONSTANTINOU AC, Freestone M, Marsh W et al. (2015). Causal inference for violence risk management and decision support in forensic psychiatry. nameOfConference
-
Constantinou AC, Fenton NE, Hunter Pollock LJ (2014). Bayesian networks for unbiased assessment of referee bias in Association Football. nameOfConference
-
Constantinou AC, Fenton NE, Neil M (2013). Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. nameOfConference
-
Constantinou A, FENTON NE (2013). Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries. nameOfConference
-
Constantinou A, Fenton N (2013). PROFITING FROM ARBITRAGE AND ODDS BIASES OF THE EUROPEAN FOOTBALL GAMBLING MARKET. nameOfConference
-
Constantinou A, FENTON NE, Neil M (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. nameOfConference
-
Constantinou A, FENTON NE (2012). Solving the problem of inadequate scoring rules for assessing probabilistic football forecasting models. nameOfConference
