Aug 2, 2016 · In this paper, we address the challenge of compactly encoding large sequences of SQL queries for presentation to a human user. Our approach is ...

PDF | Database access logs are large, unwieldy, and hard for humans to inspect and summarize. In spite of this, they remain the canonical go-to resource.

Gökhan Kul, Duc Luong, Ting Xie, Patrick Coonan, Varun Chandola, Oliver Kennedy, Shambhu J. Upadhyaya: Summarizing Large Query Logs in Ettu.

To summarize the log, queries are clus- tered together into “similar” groups. Each group consists of a set of queries that are issued with similar goals in mind.

Spoluautoři ; Summarizing large query logs in ettu. G Kul, D Luong, T Xie, P Coonan, V Chandola, O Kennedy, S Upadhyaya. arXiv preprint arXiv:1608.01013, 2016. 2 ...

This paper proposes a framework to analyze access patterns to databases by clustering SQL queries issued to the database, Ettu, which works by grouping ...

Summarizing large query logs in ettu. G Kul, D Luong, T Xie, P Coonan, V Chandola, O Kennedy, S Upadhyaya. arXiv preprint arXiv:1608.01013, 2016. 2, 2016.

The focus of this paper is to summarize large query logs by clustering queries by similarity of intent. ... Ettu: Analyzing query intents in corporate databases.

Съавтори ; Summarizing large query logs in ettu. G Kul, D Luong, T Xie, P Coonan, V Chandola, O Kennedy, S Upadhyaya. arXiv preprint arXiv:1608.01013, 2016. 2 ...

Syntactic and semantic aspects of queries must be considered along with contextual information. We present an extensible framework for analyzing SQL query logs.