Avrilia Floratou

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Natural Language

Question Answering

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino
NL2SQL is a solved problem... Not! CIDR (2024)
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. Proc. ACM Manag. Data 2 (1) (2024)
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
Rapidash: Efficient Detection of Constraint Violations. Proc. VLDB Endow. 17 (8) (2024)
Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
ReAcTable: Enhancing ReAct for Table Question Answering. Proc. VLDB Endow. 17 (8) (2024)
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. SIGMOD Rec. 53 (2) (2024)
K. Venkatesh Emani, Avrilia Floratou, Carlo Curino
PyFroid: Scaling Data Analysis on a Commodity Workstation. EDBT (2024)
Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
ReAcTable: Enhancing ReAct for Table Question Answering. CoRR (2023)
Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu
Exploiting Structure in Regular Expression Queries. Proc. ACM Manag. Data 1 (2) (2023)
Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel
Schema Matching using Pre-Trained Language Models. ICDE (2023)
Divyakant Agrawal, Sihem Amer-Yahia, K. Selçuk Candan, Avrilia Floratou, Hakan Hacigümüs
PACMMOD V1 N2 Editorial. Proc. ACM Manag. Data 1 (2) (2023)
Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang
Will LLMs reshape, supercharge, or kill data science? Proc. VLDB Endow. 16 (12) (2023)
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52 (2) (2023)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. 16 (12) (2023)
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion (2023)
Xinyu Liu, K. Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
PolySem: Efficient Polyglot Analytics on Semantic Data. VLDB Workshops (2023)
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. CoRR (2023)
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
Rapidash: Efficient Constraint Discovery via Rapid Verification. CoRR (2023)
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
From Words to Code: Harnessing Data for Program Synthesis from Natural Language. CoRR (2023)
Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51 (2) (2022)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR (2022)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51 (2) (2022)
Ke Wang, Avrilia Floratou, Ashvin Agrawal, Daniel Musgrave
Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines. SIGMOD Conference (2020)
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
Vamsa: Tracking Provenance in Data Science Scripts. CoRR (2020)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
Vamsa: Automated Provenance Tracking in Data Science Scripts. KDD (2020)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
Data Science through the looking glass and what we found there. CoRR (2019)
Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou, Avrilia Floratou, Nectarios Koziris
General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones. IEEE BigData (2019)
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
Netco: Cache and I/O Management for Analytics over Disaggregated Stores. SoCC (2018)
Ashvin Agrawal, Avrilia Floratou
Dhalion in Action: Automatic Management of Streaming Applications. Proc. VLDB Endow. 11 (12) (2018)
Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy
Dhalion: Self-Regulating Stream Processing in Heron. Proc. VLDB Endow. 10 (12) (2017)
Manos Karpathiotakis, Avrilia Floratou, Fatma Özcan, Anastasia Ailamaki
No data left behind: real-time insights from a complex data ecosystem. SoCC (2017)
Avrilia Floratou, Ashvin Agrawal
Self-Regulating Streaming Systems: Challenges and Opportunities. BIRTE (2017)
Maosong Fu, Ashvin Agrawal, Avrilia Floratou, Bill Graham, Andrew Jorgensen, Mark Li, Neng Lu, Karthik Ramasamy, Sriram Rao, Cong Wang
Twitter Heron: Towards Extensible Streaming Engines. ICDE (2017)
Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. Proc. VLDB Endow. 9 (12) (2016)
Avrilia Floratou, Nimrod Megiddo, Navneet Potti, Fatma Özcan, Uday Kale, Jan Schmitz-Hermes
Adaptive Caching in Big SQL using the HDFS Cache. SoCC (2016)
Avrilia Floratou
Towards Systematic Data Center Design. CIDR (2015)
Avrilia Floratou, Jignesh M. Patel
Replica Placement in Multi-tenant Database Environments. BigData Congress (2015)
Avrilia Floratou, Umar Farooq Minhas, Fatma Özcan
SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures. Proc. VLDB Endow. 7 (12) (2014)
Avrilia Floratou, Frank Bertsch, Jignesh M. Patel, Georgios Laskaris
Towards Building Wind Tunnels for Data Center Design. Proc. VLDB Endow. 7 (9) (2014)
Avrilia Floratou, Fatma Özcan, Berni Schiefer
Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC? WBDB (2014)
Avrilia Floratou, Nikhil Teletia, David J. DeWitt, Jignesh M. Patel, Donghui Zhang
Can the Elephants Handle the NoSQL Onslaught? Proc. VLDB Endow. 5 (12) (2012)
Avrilia Floratou, Nikhil Teletia, David J. DeWitt, Jignesh M. Patel, Donghui Zhang
Can the Elephants Handle the NoSQL Onslaught? CoRR (2012)
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata
Column-Oriented Storage Techniques for MapReduce. Proc. VLDB Endow. 4 (7) (2011)
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
Efficient and Accurate Discovery of Patterns in Sequence Data Sets. IEEE Trans. Knowl. Data Eng. 23 (8) (2011)
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata
Column-Oriented Storage Techniques for MapReduce CoRR (2011)
Avrilia Floratou, Jignesh M. Patel, Willis Lang, Alan Halverson
When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud? TPCTC (2011)
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
Efficient and accurate discovery of patterns in sequence datasets. ICDE (2010)