Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Floratou, Avrilia"'
Autor:
Zhang, Yunjia, Henkel, Jordan, Floratou, Avrilia, Cahoon, Joyce, Deep, Shaleen, Patel, Jignesh M.
Table Question Answering (TQA) presents a substantial challenge at the intersection of natural language processing and data analytics. This task involves answering natural language (NL) questions on top of tabular data, demanding proficiency in logic
Externí odkaz:
http://arxiv.org/abs/2310.00815
Denial Constraint (DC) is a well-established formalism that captures a wide range of integrity constraints commonly encountered, including candidate keys, functional dependencies, and ordering constraints, among others. Given their significance, ther
Externí odkaz:
http://arxiv.org/abs/2309.12436
Autor:
Khatry, Anirudh, Cahoon, Joyce, Henkel, Jordan, Deep, Shaleen, Emani, Venkatesh, Floratou, Avrilia, Gulwani, Sumit, Le, Vu, Raza, Mohammad, Shi, Sherry, Singh, Mukul, Tiwari, Ashish
Creating programs to correctly manipulate data is a difficult task, as the underlying programming languages and APIs can be challenging to learn for many users who are not skilled programmers. Large language models (LLMs) demonstrate remarkable poten
Externí odkaz:
http://arxiv.org/abs/2305.01598
Autor:
Camacho-Rodríguez, Jesús, Agrawal, Ashvin, Gruenheid, Anja, Gosalia, Ashit, Petculescu, Cristian, Aguilar-Saborit, Josep, Floratou, Avrilia, Curino, Carlo, Ramakrishnan, Raghu
Publikováno v:
Proceedings of the ACM on Management of Data (2024) Volume 2 Issue 1
Data processing engines increasingly leverage distributed file systems for scalable, cost-effective storage. While the Apache Parquet columnar format has become a popular choice for data storage and retrieval, the immutability of Parquet files render
Externí odkaz:
http://arxiv.org/abs/2305.01120
Autor:
Psallidas, Fotis, Agrawal, Ashvin, Sugunan, Chandru, Ibrahim, Khaled, Karanasos, Konstantinos, Camacho-Rodríguez, Jesús, Floratou, Avrilia, Curino, Carlo, Ramakrishnan, Raghu
Provenance encodes information that connects datasets, their generation workflows, and associated metadata (e.g., who or when executed a query). As such, it is instrumental for a wide range of critical governance applications (e.g., observability and
Externí odkaz:
http://arxiv.org/abs/2210.14047
Autor:
Namaki, Mohammad Hossein, Floratou, Avrilia, Psallidas, Fotis, Krishnan, Subru, Agrawal, Ashvin, Wu, Yinghui, Zhu, Yiwen, Weimer, Markus
There has recently been a lot of ongoing research in the areas of fairness, bias and explainability of machine learning (ML) models due to the self-evident or regulatory requirements of various ML applications. We make the following observation: All
Externí odkaz:
http://arxiv.org/abs/2001.01861
Autor:
Psallidas, Fotis, Zhu, Yiwen, Karlas, Bojan, Interlandi, Matteo, Floratou, Avrilia, Karanasos, Konstantinos, Wu, Wentao, Zhang, Ce, Krishnan, Subru, Curino, Carlo, Weimer, Markus
The recent success of machine learning (ML) has led to an explosive growth both in terms of new systems and algorithms built in industry and academia, and new applications built by an ever-growing community of data science (DS) practitioners. This qu
Externí odkaz:
http://arxiv.org/abs/1912.09536
Autor:
Agrawal, Ashvin, Chatterjee, Rony, Curino, Carlo, Floratou, Avrilia, Gowdal, Neha, Interlandi, Matteo, Jindal, Alekh, Karanasos, Kostantinos, Krishnan, Subru, Kroth, Brian, Leeka, Jyoti, Park, Kwanghyun, Patel, Hiren, Poppe, Olga, Psallidas, Fotis, Ramakrishnan, Raghu, Roy, Abhishek, Saur, Karla, Sen, Rathijit, Weimer, Markus, Wright, Travis, Zhu, Yiwen
Machine learning (ML) has proven itself in high-value web applications such as search ranking and is emerging as a powerful tool in a much broader range of enterprise scenarios including voice recognition and conversational understanding for customer
Externí odkaz:
http://arxiv.org/abs/1909.00084
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.