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Report NEP-BIG-2024-04-08
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Graham Pilgrim & Emmanuelle Guidetti & Annabelle Mourougane, 2024, "An ocean of data: The potential of data on vessel traffic," OECD Statistics Working Papers, OECD Publishing, number 2024/02, Mar, DOI: 10.1787/34b7a926-en.
- Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar, 2024, "Sovereign Risk and Economic Complexity," IDB Publications (Working Papers), Inter-American Development Bank, number 13393, Jan, DOI: http://dx.doi.org/10.18235/0005533.
- Michalopoulos, S & Rauh, C., 2024, "Movies," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2412, Mar.
- Alessandro Niro & Michael Werner, 2024, "Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks," Papers, arXiv.org, number 2403.00775, Feb.
- Rambod Rahmani & Marco Parola & Mario G. C. A. Cimino, 2024, "A machine learning workflow to address credit default prediction," Papers, arXiv.org, number 2403.03785, Mar.
- Daixin Wang & Zhiqiang Zhang & Yeyu Zhao & Kai Huang & Yulin Kang & Jun Zhou, 2024, "Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning," Papers, arXiv.org, number 2403.06482, Mar.
- Novan Fauzi Al Giffary & Feri Sulianta, 2024, "Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression," Papers, arXiv.org, number 2403.03410, Mar.
- Juan C. King & Roberto Dale & Jos'e M. Amig'o, 2024, "Blockchain Metrics and Indicators in Cryptocurrency Trading," Papers, arXiv.org, number 2403.00770, Feb.
- Zihao Li & Hui Lan & Vasilis Syrgkanis & Mengdi Wang & Masatoshi Uehara, 2024, "Regularized DeepIV with Model Selection," Papers, arXiv.org, number 2403.04236, Mar.
- Jamotton, Charlotte & Hainaut, Donatien, 2024, "Latent Dirichlet Allocation for structured insurance data," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2024008, Mar.
- Oluwafemi F Olaiyapo, 2024, "Applying News and Media Sentiment Analysis for Generating Forex Trading Signals," Papers, arXiv.org, number 2403.00785, Feb.
- Bantle, Melissa, 2024, "Screen for collusive behavior: A machine learning approach," Hohenheim Discussion Papers in Business, Economics and Social Sciences, University of Hohenheim, Faculty of Business, Economics and Social Sciences, number 01-2024.
- Mohammad Ali Labbaf Khaniki & Mohammad Manthouri, 2024, "Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators," Papers, arXiv.org, number 2403.03606, Mar.