Sok: Cryptanalysis of encrypted search with leaker–a framework for leakage attack evaluation on real-world data

S Kamara, A Kati, T Moataz, T Schneider… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
An encrypted search algorithm (ESA) allows a user to encrypt its data while preserving the
ability to search over it. As all practical solutions leak some information, cryptanalysis plays …

Similarity metrics for SQL query clustering

G Kul, DTA Luong, T Xie, V Chandola… - … on Knowledge and …, 2018 - ieeexplore.ieee.org
Database access logs are the starting point for many forms of database administration, from
database performance tuning, to security auditing, to benchmark design, and many more …

Interest-based recommendations for business intelligence users

K Drushku, J Aligon, N Labroche, P Marcel, V Peralta - Information Systems, 2019 - Elsevier
It is quite common these days for experts, casual analysts, executives and data enthusiasts,
to analyze large datasets through user-friendly interfaces on top of Business Intelligence (BI) …

Cleaning antipatterns in an SQL query log

N Arzamasova, M Schäler… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Today, many scientific data sets are open to the public. For their operators, it is important to
know what the users are interested in. In this paper, we study the problem of extracting and …

Facilitating SQL query composition and analysis

Z Zolaktaf, M Milani, R Pottinger - Proceedings of the 2020 ACM …, 2020 - dl.acm.org
Formulating efficient SQL queries requires several cycles of tuning and execution. We
examine methods that can accelerate and improve this interaction by providing insights …

Scalable and data-aware sql query recommendations

N Arzamasova, K Böhm - Information Systems, 2021 - Elsevier
SQL query recommendation suggests an SQL statement to a user, based on his submitted
requests and on queries of other users stored in a log. Such methods need to be scalable …

On the usefulness of SQL-query-similarity measures to find user interests

N Arzamasova, K Böhm, B Goldman… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
In the sciences and elsewhere, the use of relational databases has become ubiquitous. An
important challenge is finding hot spots of user interests. In principle, one can discover user …

Detecting user focus in OLAP analyses

M Djedaini, N Labroche, P Marcel, V Peralta - Advances in Databases and …, 2017 - Springer
In this paper, we propose an approach to automatically detect focused portions of data cube
explorations by using different features of OLAP queries. While such a concept of focused …

QueRIE reloaded: Using matrix factorization to improve database query recommendations

M Eirinaki, S Patel - 2015 IEEE International Conference on Big …, 2015 - ieeexplore.ieee.org
Interactive database exploration is a key task in information mining. Relational databases
have been long used as a critical infrastructure component to access and analyze large …

Mining SQL workloads for learning analysis behavior

C Moreau, C Legroux, V Peralta, MA Hamrouni - Information Systems, 2022 - Elsevier
This paper presents a set of analyses aiming at better understanding the SQLShare
workload Jain et al.(2016) and learning users' analysis behavior. SQLShare is a database …