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Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models.

, , and . SIGMOD Conference, page 743-758. ACM, (2016)

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Causal What-If and How-To Analysis Using HypeR., , , , , , and . ICDE, page 3663-3666. IEEE, (2023)Balancing the Tradeoff Between Clustering Value and Interpretability., , and . CoRR, (2019)HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach., , , and . SIGMOD Conference, page 1598-1611. ACM, (2022)DataPrism: Exposing Disconnect between Data and Systems., , , , , and . SIGMOD Conference, page 217-231. ACM, (2022)Min-d-Occur: Ensuring Future Occurrences in Streaming Sets., and . UAI, page 370-379. AUAI Press, (2014)Demonstration of Ver: View Discovery in the Wild., , , , , , , and . SIGMOD Conference Companion, page 428-431. ACM, (2024)A Data-Centric Online Market for Machine Learning: From Discovery to Pricing., , , , , and . CoRR, (2023)Adaptive Rule Discovery for Labeling Text Data., , and . SIGMOD Conference, page 2217-2225. ACM, (2021)Crowd-Sourced Entity Resolution with Control Queries., , , and . SEBD, volume 2400 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Metam: Goal-Oriented Data Discovery., , and . ICDE, page 2780-2793. IEEE, (2023)