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Automatic Identification of Quasi-Experimental Designs for Scientific Discovery.

, , , , and . AAAI Fall Symposium: Automated Scientific Discovery, volume FS-08-03 of AAAI Technical Report, page 24-25. AAAI, (2008)

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Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy - Special Session Overview., , , , and . DSAA, page 612-613. IEEE, (2018)Information awareness: a prospective technical assessment., , and . KDD, page 378-387. ACM, (2003)Automatic Identification of Quasi-Experimental Designs for Scientific Discovery., , , , and . AAAI Fall Symposium: Automated Scientific Discovery, volume FS-08-03 of AAAI Technical Report, page 24-25. AAAI, (2008)Relational Blocking for Causal Discovery., , and . AAAI, AAAI Press, (2011)Object Conditioning for Causal Inference., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1072-1082. AUAI Press, (2019)Exploiting Network Structure for Active Inference in Collective Classification., , , , , , and . ICDM Workshops, page 429-434. IEEE Computer Society, (2007)The case for anomalous link discovery., and . SIGKDD Explor., 7 (2): 41-47 (2005)Digging Data: Using Archaeology to Teach Responsible Data Practices in a Study Abroad Context., , , and . SIGCSE (1), page 1342-1346. ACM, (2024)Using structure indices for efficient approximation of network properties., , and . KDD, page 357-366. ACM, (2006)Graph clustering with network structure indices., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 783-790. ACM, (2007)