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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

The similarity-aware relational division database operator with case studies in agriculture and genetics

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Author(s):
Gonzaga, Andre dos Santos [1] ; Cordeiro, Robson L. F. [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: INFORMATION SYSTEMS; v. 82, p. 71-87, MAY 2019.
Web of Science Citations: 0
Abstract

In Relational Algebra, the operator Division (divided by) is an intuitive tool used to write queries with the concept of ``for all{''}, and thus, it is constantly required in real applications. However, as we demonstrate here, the division does not support many of the needs common to modern applications, particularly those that involve complex data analysis, such as processing images, audio, genetic data, large graphs, fingerprints, and many other ``non-traditional{''} data types. The main issue is the existence of intrinsic comparisons of attribute values in the operator, which, by definition, are always performed by identity (=), despite the fact that complex data must be compared by similarity. Recent works focus on supporting similarity comparison in relational operators, but no one treats the division. This paper presents the new Similarity-aware Division ((divided by) over cap) operator. Our novel operator is naturally well suited to answer queries with an idea of ``candidate elements and exigencies{''} to be performed on complex data from modern applications. For example, it is potentially useful to support agriculture, genetic analyses, digital library search, prospective client identification, and even to help controlling the quality of manufactured products in industry. We validate our proposals by studying the first two of these applications. (C) 2019 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 18/05714-5 - Mining Frequent Data Streams of High Dimensionality with a Case Study in Digital Games
Grantee:Robson Leonardo Ferreira Cordeiro
Support Opportunities: Regular Research Grants
FAPESP's process: 15/05607-6 - Relational division by similarity in databases: formal definition, incorporation to the relational Algebra and development of algorithms with one case study in Agriculture
Grantee:André dos Santos Gonzaga
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 14/21483-2 - The Similarity-aware relational division database operator
Grantee:Robson Leonardo Ferreira Cordeiro
Support Opportunities: Regular Research Grants