Welcome to the InfoSci Platform
Spatio-Temporal OLAP Queries Similarity Measure and Algorithm

Spatio-Temporal OLAP Queries Similarity Measure and Algorithm

Olfa Layouni, Jalel Akaichi
Copyright: © 2019 |Volume: 15 |Issue: 2 |Pages: 20
ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781522564195|DOI: 10.4018/IJDWM.2019040102
Cite Article Cite Article

MLA

Layouni, Olfa, and Jalel Akaichi. "Spatio-Temporal OLAP Queries Similarity Measure and Algorithm." IJDWM vol.15, no.2 2019: pp.22-41. http://doi.org/10.4018/IJDWM.2019040102

APA

Layouni, O. & Akaichi, J. (2019). Spatio-Temporal OLAP Queries Similarity Measure and Algorithm. International Journal of Data Warehousing and Mining (IJDWM), 15(2), 22-41. http://doi.org/10.4018/IJDWM.2019040102

Chicago

Layouni, Olfa, and Jalel Akaichi. "Spatio-Temporal OLAP Queries Similarity Measure and Algorithm," International Journal of Data Warehousing and Mining (IJDWM) 15, no.2: 22-41. http://doi.org/10.4018/IJDWM.2019040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Spatio-temporal data warehouses store large volumes of consolidated and historized multidimensional data, to be explored and analyzed by various users in order to make the best decision. A spatio-temporal OLAP user interactively navigates a spatio-temporal data cube (Geo-cube) by launching a sequence of spatio-temporal OLAP queries (GeoMDX queries) in order to analyze the data. One important class of spatio-temporal analysis is computing spatio-temporal queries similarity. In this article, the authors focus on assessing the similarity between spatio-temporal OLAP queries in term of their GeoMDX queries. The problem of measuring spatio-temporal OLAP queries similarities has not been studied so far. Therefore, this article aims at filling this gap by proposing a new similarity measure and its corresponding algorithm. The proposed measure and algorithm can be used either in developing query recommendation, personalization systems or speeding-up query evolution. It takes into account the temporal similarity and the basic components of spatial similarity assessment relationships.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.