Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Naughton, Jeffrey F."'
Autor:
Wu, Xi, Zhu, Zichen, Yu, Xiangyao, Deep, Shaleen, Viglas, Stratis, Cieslewicz, John, Jha, Somesh, Naughton, Jeffrey F.
A range of data insight analytical tasks involves analyzing a large set of tables of different schemas, possibly induced by various groupings, to find salient patterns. This paper presents Multi-Relational Algebra, an extension of the classic Relatio
Externí odkaz:
http://arxiv.org/abs/2311.04824
Autor:
Wu, Xi, Deep, Shaleen, Benassi, Joe, Li, Fengan, Zhang, Yaqi, Jang, Uyeong, Foster, James, Kim, Stella, Sun, Yujing, Nguyen, Long, Viglas, Stratis, Jha, Somesh, Cieslewicz, John, Naughton, Jeffrey F.
Many data insight questions can be viewed as searching in a large space of tables and finding important ones, where the notion of importance is defined in some adhoc user defined manner. This paper presents Holistic Cube Analysis (HoCA), a framework
Externí odkaz:
http://arxiv.org/abs/2302.00120
Autor:
Li, Fengan, Chen, Lingjiao, Zeng, Yijing, Kumar, Arun, Naughton, Jeffrey F., Patel, Jignesh M., Wu, Xi
Data compression is a popular technique for improving the efficiency of data processing workloads such as SQL queries and more recently, machine learning (ML) with classical batch gradient methods. But the efficacy of such ideas for mini-batch stocha
Externí odkaz:
http://arxiv.org/abs/1702.06943
While significant progress has been made separately on analytics systems for scalable stochastic gradient descent (SGD) and private SGD, none of the major scalable analytics frameworks have incorporated differentially private SGD. There are two inter
Externí odkaz:
http://arxiv.org/abs/1606.04722
Despite of decades of work, query optimizers still make mistakes on "difficult" queries because of bad cardinality estimates, often due to the interaction of multiple predicates and correlations in the data. In this paper, we propose a low-cost post-
Externí odkaz:
http://arxiv.org/abs/1601.05748
Private regression has received attention from both database and security communities. Recent work by Fredrikson et al. (USENIX Security 2014) analyzed the functional mechanism (Zhang et al. VLDB 2012) for training linear regression models over medic
Externí odkaz:
http://arxiv.org/abs/1512.06388
Predicting query execution time is a fundamental issue underlying many database management tasks. Existing predictors rely on information such as cardinality estimates and system performance constants that are difficult to know exactly. As a result,
Externí odkaz:
http://arxiv.org/abs/1408.6589
Complex Event Processing (CEP) is a stream processing model that focuses on detecting event patterns in continuous event streams. While the CEP model has gained popularity in the research communities and commercial technologies, the problem of gracef
Externí odkaz:
http://arxiv.org/abs/1312.4283