Analyses and algorithms for exploring relational databases

Authors:
Mirela-Catrinel Voicu;Mihai Dragota;Raul Turcu;Andreea Bânciu;Gabriela Mircea;Danut Sosea
Affiliations:
Faculty of Economics and Business Administration, West University of Timisoara, Romania;Faculty of Economics and Business Administration, West University of Timisoara, Romania;Faculty of Economics and Business Administration, West University of Timisoara, Romania;Faculty of Economics and Business Administration, West University of Timisoara, Romania;Faculty of Economics and Business Administration, West University of Timisoara, Romania;Faculty of Economics and Business Administration, West University of Timisoara, Romania
Venue:
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Year:
2009

Citing 7
Cited 0

Database System Concepts

Database System Concepts
A new OLAP aggregation based on the AHC technique

Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
Preparing complex data for warehousing

AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Plenary lecture V: algorithms used to obtain aggregated value sets from relational databases

MCBE'08 Proceedings of the 9th WSEAS International Conference on Mathematics & Computers In Business and Economics
On application of SOA to continuous auditing

WSEAS Transactions on Computers
Research on E-business intelligent examination system

WSEAS Transactions on Information Science and Applications
Study on residential assemblies: database and algorithms

MCBE'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and economics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present our study on the three rooms apartments of residential assemblies from Bucharest, starting from a particular set presented in [6]. We build a database and we present different results on these data. We study the price per housing unit in relation with other factors: the surface of the housing unit, the number of buildings per residential assemblies, the floor number of buildings, other types of housing units from the corresponding residential assembly, the existence of parking or cellar, the number of facilities and the number of finishing.