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An analysis of query-agnostic sampling for interactive data exploration.
- Source :
-
Communications in Statistics: Theory & Methods . 8/15/2018, Vol. 47 Issue 16, p3820-3837. 18p. - Publication Year :
- 2018
-
Abstract
- Data analysts often explore a large database to identify the data of interest, but may not be able to specify the exact query to send to the database. A manual data exploration process is labor intensive and time-consuming. In the new paradigmof system-aided interactive data exploration, the Database Management System presents the samples to the user and engages the user in an interactive exploration process to identify the user interest. In this article, we examine a number of initial sampling techniques to identify at least one positive (i.e., interesting) sample and compare them both theoretically and empirically. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DATABASE management
*QUERYING (Computer science)
*STATISTICAL sampling
*BIG data
Subjects
Details
- Language :
- English
- ISSN :
- 03610926
- Volume :
- 47
- Issue :
- 16
- Database :
- Academic Search Index
- Journal :
- Communications in Statistics: Theory & Methods
- Publication Type :
- Academic Journal
- Accession number :
- 130251995
- Full Text :
- https://doi.org/10.1080/03610926.2017.1363231