Paper Info
Title
Pattern Mining over Star Schemas in the Onto4AR Framework
Abstract
Storing data according to the multidimensional model, in particular following star schemas, has demonstrated to be one of the most adequate forms to ease the exploration of data. However, this exploration has been limited to be query-based, leaving the discovery of hidden information to a second plan. The main reason for this, relates to the inability of traditional mining techniques to deal with several data tables at the same time. In this paper, we propose a new approach to mine patterns among data stored as a star schema, based in a domain driven framework, where available knowledge is represented in a domain ontology. Pattern mining is performed by an apriori-based algorithm - the D2Apriori, but more efficient algorithms are being implemented and tested, in order to solve performance issues related with the large amount of data stored in data warehouses.
Year
DOI
Venue
2009
10.1109/ICDMW.2009.68
ICDM Workshops
Keywords
Field
DocType
domain ontology,star schema,traditional mining technique,adequate form,star schemas,storing data,data warehouse,particular following star schema,onto4ar framework,data table,pattern mining,apriori-based algorithm,motion pictures,data storage,ontologies,data warehouses,data mining,knowledge based systems
Ontology (information science),Data warehouse,Data mining,Ontology,Star schema,Computer science,A priori and a posteriori,Knowledge-based systems,Schema (psychology),A* search algorithm
Conference
ISSN
ISBN
Citations 
2375-9232
978-0-7695-3902-7
3
PageRank 
References 
Authors
0.40
4
1
Name
Order
Citations
PageRank
Cláudia Antunes116116.57