Smoke: fine-grained lineage at interactive speed von Psallidas, Fotis, Wu, Eugene

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Smoke: fine-grained lineage at interactive speed von Psallidas, Fotis, Wu, Eugene

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SEIZE: Runtime Inspection for Parallel Dataflow Systems von Li, Youfu, Interlandi, Matteo, Psallidas, Fotis, Wang, Wei, Zaniolo, Carlo

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Rapidash: Efficient Detection of Constraint Violations von Liu, Zifan, Deep, Shaleen, Fariha, Anna, Psallidas, Fotis, Tiwari, Ashish, Floratou, Avrilia

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Optimizing Data Pipelines for Machine Learning in Feature Stores von Liu, Rui, Park, Kwanghyun, Psallidas, Fotis, Zhu, Xiaoyong, Mo, Jinghui, Sen, Rathijit, Interlandi, Matteo, Karanasos, Konstantinos, Tian, Yuanyuan, Camacho-Rodríguez, Jesús

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OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Query Event Logs von Psallidas, Fotis, Agrawal, Ashvin, Sugunan, Chandru, Ibrahim, Khaled, Karanasos, Konstantinos, Camacho-Rodríguez, Jesús, Floratou, Avrilia, Curino, Carlo, Ramakrishnan, Raghu

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DiVA : Using Application-Specific Policies to ‘Dive’ into Vector Approximations von Tsakalozos, Konstantinos, Evangelatos, Spiros, Psallidas, Fotis, Vieira, Marcos R., Tsotras, Vassilis J., Delis, Alex

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Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines von Psallidas, Fotis, Zhu, Yiwen, Karlas, Bojan, Henkel, Jordan, Interlandi, Matteo, Krishnan, Subru, Kroth, Brian, Emani, Venkatesh, Wu, Wentao, Zhang, Ce, Weimer, Markus, Floratou, Avrilia, Curino, Carlo, Karanasos, Konstantinos

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Provenance for Interactive Visualizations von Psallidas, Fotis, Wu, Eugene

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Smoke: Fine-grained Lineage at Interactive Speed von Psallidas, Fotis, Wu, Eugene

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Rapidash: Efficient Constraint Discovery via Rapid Verification von Liu, Zifan, Deep, Shaleen, Fariha, Anna, Psallidas, Fotis, Tiwari, Ashish, Floratou, Avrilia

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OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs [Technical Report] von Psallidas, Fotis, Agrawal, Ashvin, Sugunan, Chandru, Ibrahim, Khaled, Karanasos, Konstantinos, Camacho-Rodríguez, Jesús, Floratou, Avrilia, Curino, Carlo, Ramakrishnan, Raghu

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Provenance for Interactive Visualizations von Psallidas, Fotis, Wu, Eugene

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Smoke: Fine-grained Lineage at Interactive Speed von Psallidas, Fotis, Wu, Eugene

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Rapidash: Efficient Constraint Discovery via Rapid Verification von Liu, Zifan, Deep, Shaleen, Fariha, Anna, Psallidas, Fotis, Tiwari, Ashish, Floratou, Avrilia

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Vamsa: Automated Provenance Tracking in Data Science Scripts von Mohammad Hossein Namaki, Floratou, Avrilia, Psallidas, Fotis, Krishnan, Subru, Agrawal, Ashvin, Wu, Yinghui, Zhu, Yiwen, Weimer, Markus

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LINGUISTIC SCHEMA MAPPING VIA SEMI-SUPERVISED LEARNING von MUELLER, Andreas C, FLORATOU, Avrilia, BANDA, Dalitso Hansini, CAHOON, Joyce Yu, ZHANG, Yunjia, KRISHNAN, Subramaniam Venkatraman, PSALLIDAS, Fotis, PATEL, Jignesh

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OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs [Technical Report] von Psallidas, Fotis, Agrawal, Ashvin, Sugunan, Chandru, Ibrahim, Khaled, Karanasos, Konstantinos, Camacho-Rodríguez, Jesús, Floratou, Avrilia, Curino, Carlo, Ramakrishnan, Raghu

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Data Science through the looking glass and what we found there von Psallidas, Fotis, Zhu, Yiwen, Karlas, Bojan, Interlandi, Matteo, Floratou, Avrilia, Karanasos, Konstantinos, Wu, Wentao, Zhang, Ce, Krishnan, Subru, Curino, Carlo, Weimer, Markus

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LINGUISTIC SCHEMA MAPPING VIA SEMI-SUPERVISED LEARNING von MUELLER, Andreas C, FLORATOU, Avrilia, BANDA, Dalitso Hansini, CAHOON, Joyce Yu, ZHANG, Yunjia, KRISHNAN, Subramaniam Venkatraman, PSALLIDAS, Fotis, PATEL, Jignesh M

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