Daniel Stamate
Lecturer
Computer Engineering
Goldsmiths University of London
United Kingdom
Biography
Lecturer Department of Computing Goldsmiths University
Research Interest
Uncertain Knowledge Bases and Databases with Imperfect Information (Imperfect Information Integration; Rule based Reasoning under Uncertainty, Incompleteness and Inconsistency in the context of Multivalued Logics; Query Optimisation for Efficient Imperfect Information Retrieval), Knowledge Discovery in Databases, Data Mining and Statistical Computing (Clustering/ Segmentation, Feature Selection, Classification Techniques, Statistical Techniques in Data Mining: Mixture Models and Probability Distribution Forecasting, and formerly in Statistical Databases). I am also interested in Algorithms and Complexity.
Publications
-
Social Web-based Anxiety Index's Predictive Information on S&P 500 Revisited Olaniyan, Rapheal; Stamate, Daniel and Logofatu, Doina. 2015. Social Web-based Anxiety Index's Predictive Information on S&P 500 Revisited. In: Alexander Gammerman; Vladimir Vovk and Harris Papadopoulos, eds. Statistical Learning and Data Sciences. 9047 Egham UK: Springer, pp. 203-213. ISBN 978-3-319-17090-9
-
Sentiment and stock market volatility predictive modelling - A hybrid approach Olaniyan, Rapheal; Stamate, Daniel; Ouarbya, Lahcen and Logofatu, Doina. 2015. Sentiment and stock market volatility predictive modelling - A hybrid approach. In: Eric Gaussier; Longbing Cao; Patrick Gallinari; James Kwok; Gabriela Pasi and Osmar Zaiane, eds. Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on. Paris: IEEE, pp. 1-10. ISBN 978-1-4673-8272-4
