Following recent trends in Data Warehousing, companies realized that there is a great potential in combining their information repositories to obtain a broader view of the economical market. Unfortunately, even though Data Warehouse (DW) integration has been defined from a theoretical point of view, until now no complete, widely used methodology has been proposed to support the integration of the information coming from heterogeneous DWs. This paper deals with the automatic integration of dimensional attributes from heterogeneous DWs. A method relying on topological properties that similar dimensions maintain is proposed for discovering mappings of dimensions, and a technique based on clustering algorithms is introduced for integrating the data associated to the dimensions.

Mapping and Integration of Dimensional Attributes Using Clustering Techniques / Guerra, Francesco; Marius Octavian, Olaru; Vincini, Maurizio. - STAMPA. - 123:(2012), pp. 38-49. ((Intervento presentato al convegno E-Commerce and Web Technologies - 13th International Conference, EC-Web 2012 tenutosi a Vienna, Austria nel September 4-5, 2012.

Mapping and Integration of Dimensional Attributes Using Clustering Techniques.

GUERRA, Francesco;VINCINI, Maurizio
2012-01-01

Abstract

Following recent trends in Data Warehousing, companies realized that there is a great potential in combining their information repositories to obtain a broader view of the economical market. Unfortunately, even though Data Warehouse (DW) integration has been defined from a theoretical point of view, until now no complete, widely used methodology has been proposed to support the integration of the information coming from heterogeneous DWs. This paper deals with the automatic integration of dimensional attributes from heterogeneous DWs. A method relying on topological properties that similar dimensions maintain is proposed for discovering mappings of dimensions, and a technique based on clustering algorithms is introduced for integrating the data associated to the dimensions.
E-Commerce and Web Technologies - 13th International Conference, EC-Web 2012
Vienna, Austria
September 4-5, 2012
123
38
49
Guerra, Francesco; Marius Octavian, Olaru; Vincini, Maurizio
Mapping and Integration of Dimensional Attributes Using Clustering Techniques / Guerra, Francesco; Marius Octavian, Olaru; Vincini, Maurizio. - STAMPA. - 123:(2012), pp. 38-49. ((Intervento presentato al convegno E-Commerce and Web Technologies - 13th International Conference, EC-Web 2012 tenutosi a Vienna, Austria nel September 4-5, 2012.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/779489
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 3
social impact