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Report NEP-BIG-2021-11-01
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:
- Jaydip Sen & Rajdeep Sen & Abhishek Dutta, 2021, "Machine Learning in Finance-Emerging Trends and Challenges," Papers, arXiv.org, number 2110.11999, Oct.
- Börschlein, Benjamin & Bossler, Mario, 2021, "A new machine learning-based treatment bite for long run minimum wage evaluations," VfS Annual Conference 2021 (Virtual Conference): Climate Economics, Verein für Socialpolitik / German Economic Association, number 242441.
- Tugce Karatas & Ali Hirsa, 2021, "Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques," Papers, arXiv.org, number 2110.09315, Aug.
- Shareefuddin Mohammed & Rusty Bealer & Jason Cohen, 2021, "Embracing advanced AI/ML to help investors achieve success: Vanguard Reinforcement Learning for Financial Goal Planning," Papers, arXiv.org, number 2110.12003, Oct.
- Nadia Lakhal & Asma Guizani & Asma Sghaier & Mohammed El َamine Abdelli & Imen Ben Slimene, 2021, "The impact of CSR performance on Efficiency of Investments using Machine Learning," Post-Print, HAL, number hal-03375264, Sep.
- Maria Begicheva & Alexey Zaytsev, 2021, "Bank transactions embeddings help to uncover current macroeconomics," Papers, arXiv.org, number 2110.12000, Oct, revised Dec 2021.
- Douglas Castilho & Tharsis T. P. Souza & Soong Moon Kang & Jo~ao Gama & Andr'e C. P. L. F. de Carvalho, 2021, "Forecasting Financial Market Structure from Network Features using Machine Learning," Papers, arXiv.org, number 2110.11751, Oct.
- Keita, Moussa, 2021, "Big Data et Technologies de Stockage et de Traitement des Données Massives : Comprendre les bases de l’écosystème HADOOP (HDFS, MAPREDUCE, YARN, HIVE, HBASE, KAFKA et SPARK)
[Big Data and Technologies of Storage and Processing of Massive Data: Und," MPRA Paper, University Library of Munich, Germany, number 110334, Oct. - Cristina Franciele & Thays Christina Domareski Ruiz, 2021, "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print, HAL, number hal-03373984, Oct, DOI: 10.5281/zenodo.5548426.
- Artem Kuriksha, 2021, "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers, arXiv.org, number 2110.11582, Oct.
- Nada Wasi & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2021, "Understanding a Less Developed Labor Market through the Lens of Social Security Data," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 147, Jan.