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5th DSMM@ACM SIGMOD Conference 2019: Amsterdam, The Netherlands
- Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, DSMM@SIGMOD 2019, Amsterdam, The Netherlands, June 30, 2019. ACM 2019, ISBN 978-1-4503-6823-0
- Giuseppe Attanasio, Luca Cagliero
, Paolo Garza, Elena Baralis:
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. 1:1-1:6 - Chi-Hung Chen, Louiqa Raschid, Jinming Xue:
Understanding Trading Interactions and Behavior in Over-the-Counter Markets. 2:1-2:6 - Yuan Cheng, Shawn Mankad:
An Online Semi-NMF Algorithm for Soft-Clustering of Financial Institutions. 3:1-3:4 - Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca:
Tracking the Evolution of Financial Time Series Clusters. 4:1-4:5 - Liju Fan, Mark D. Flood
Measuring Inconsistency in Bank Holding Company Data. 5:1-5:5 - Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark D. Flood
Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee. 6:1-6:3 - César de Pablo-Sánchez, Elena T. Herruzo:
About the possibility of recovering a trade network from Bill of Lading data. 7:1-7:4 - Kun Qian, Douglas Burdick, Sairam Gurajada, Lucian Popa:
Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER. 8:1-8:6 - Qingchen Wang:
Nearest Neighbor Search for Unsupervised Entity Linkage. 9:1-9:3 - Chi-Hung Chen:
Shipment Supplier Inference Using Topic Modeling. 10:1 - Yixiang Yao, Pedro A. Szekely
Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. 11:1 - Andrea Maurino, Anisa Rula
Modelling and Linking Company Data in the euBusinessGraph Platform. 12:1-12:6
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