Prof. Dr. Diana Hristova

Quantitative und statistische Methoden (inkl. Optimierung)

Data Analytics

Risikomanagement bei Banken

Text Mining

Interpretierbarkeit von Text Mining Methoden

Seit 2020: Professorin für Wirtschaftsinformatik, insbesondere Technologien der Digitalisierung, HWR Berlin 

2015-2020: Quantitative Senior Analyst für Kreditrisikobewertung bei der Deutschen Bank AG

2015: Promotion zum Dr. rer. pol. (summa cum laude) zum Thema “Quantitative approaches for modeling information quality in information systems”

2013-2014: Forschungsaufenthalt an der City University of Hong Kong

2012-2015: Wissenschaftliche Mitarbeiterin am Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich), Universität Regensburg

2010-2012: Mitarbeiterin für die quantitative Bewertung operationeller Risiken bei der Commerzbank AG

2008-2011: Master of Finance Studium an der Albert-Ludwigs-Universität Freiburg

2005-2008: Bachelorstudium der Mathematik an der Technischen Universität Darmstadt

Objektorientierte Programmierung

Text, Web and Social Media Analytics

IT-Applications in Accounting

Risikobewertung bei Banken

Datenqualität

Text Mining

Glodd, A., Hristova, D. (2023): Extraction of Forward-looking Financial Information for Stock Price Prediction from Annual Reports Using NLP Techniques, 56th Hawai’i International Conference on System Sciences (HICSS), Hawaii, 3-6 January, 2023.

Torres, A.P., Hristova, D. (2021): GeSaRa: A Global Surrogate Model for Text Classification using a Random Forest Classifier, Working Paper, HWR Berlin.

Hsieh, H.-T., Hristova, D. (2021): Transformer-based Summarization and Sentiment Analysis of SEC 10-K Annual Reports for Company Performance Prediction, 55th Hawai’i International Conference on System Sciences (HICSS), Hawaii, 4-7 Januar, 2022.

Hristova, D., Khan, S. K. (2021): SumExp: A Summarization-Based Approach for Explaining NLP Models, 41th International Conference on Information Systems (ICIS), Austin, USA, 12-15 Dezember, 2021.

Heinrich, B., Hristova, D., Klier, M., Schiller, A., Szubartowicz, M. (2018): Requirements for Data Quality Metrics, Journal of Data and Information Quality (JDIQ), 9(2), 12. 

Hristova, D., Probst, P., Eckrich, E. (2017): RatingBot: A Text Mining Based Rating Approach, 38th International Conference on Information Systems (ICIS), Seoul, South Korea, 10-13 Dezember, 2017.

Heinrich, B. und Hristova, D. (2016): A Quantitative Approach for Modeling the Influence of Currency of Information on Decision Making under Uncertainty, Journal of Decision Systems, 25(1), 16-41.

Hristova, D., Ma, J. (2015): A community-based approach for improving the profile information quality in social networks, 23rd European Conference on Information Systems (ECIS), Münster, 26-26 Mai, 2015.

Püschel, T., Schryen, G., Hristova, D. und Neumann, D. (2015): Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty, European Journal of Operational Research, 244, 637-647.

Schryen, G. und Hristova, D. (2015): Duality in fuzzy linear programming: a survey, OR Spectrum, 37(1); 1-48.

Hristova, D. (2014): Considering Currency in Decision Trees in the Context of Big Data, 35th International Conference on Information Systems (ICIS), Auckland, New Zealand, 14-17 Dezember, 2014.

Heinrich, B. und Hristova, D. (2014): A Fuzzy Metric for Currency in the Context of Big Data, 22nd European Conference on Information Systems (ECIS), Tel Aviv, 9-11 Juni, 2014.

Püschel, T., Schryen, G., Hristova, D. und Neumann, D. (2012): Cloud Service Revenue Management, 20th European Conference on Information Systems (ECIS) 2014, Barcelona, 10-13 Juni, 2012.