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 issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon.

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 2110.11999, arXiv.org.
• 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 242441, Verein für Socialpolitik / German Economic Association.
• Tugce Karatas & Ali Hirsa, 2021. "Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques," Papers 2110.09315, arXiv.org.
• Shareefuddin Mohammed & Rusty Bealer & Jason Cohen, 2021. "Embracing advanced AI/ML to help investors achieve success: Vanguard Reinforcement Learning for Financial Goal Planning," Papers 2110.12003, arXiv.org.
• 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-03375264, HAL.
• Maria Begicheva & Alexey Zaytsev, 2021. "Bank transactions embeddings help to uncover current macroeconomics," Papers 2110.12000, arXiv.org, 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 2110.11751, arXiv.org.
• 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 Technolog," MPRA Paper 110334, University Library of Munich, Germany.
• Cristina Franciele & Thays Christina Domareski Ruiz, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print hal-03373984, HAL.
• Artem Kuriksha, 2021. "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers 2110.11582, arXiv.org.
• 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 147, Puey Ungphakorn Institute for Economic Research.