Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71944
Título: | Programming relational databases for itemset mining over large transactional tables |
Autor(es): | Alves, Ronnie Cley Oliveira Belo, Orlando |
Palavras-chave: | Association Rule Association Rule Mining Support Threshold Frequent Pattern Mining Conditional Pattern |
Data: | 2005 |
Editora: | Springer Heidelberg |
Revista: | Lecture Notes in Artificial Intelligence (subseries of Lecture Notes in Computer Science) |
Citação: | Alves, R., & Belo, O. (2005, December). Programming relational databases for itemset mining over large transactional tables. In Portuguese Conference on Artificial Intelligence (pp. 314-324). Springer, Berlin, Heidelberg. |
Resumo(s): | Most of the itemset mining approaches are memory-like and run outside of the database. On the other hand, when we deal with data warehouse the size of tables is extremely huge for memory copy. In addition, using a pure SQL-like approach is quite inefficient. Actually, those implementations rarely take advantages of database programming. Furthermore, RDBMS vendors offer a lot of features for taking control and management of the data. We purpose a pattern growth mining approach by means of database programming for finding all frequent itemsets. The main idea is to avoid one-at-a-time record retrieval from the database, saving both the copying and process context switching, expensive joins, and table reconstruction. The empirical evaluation of our approach shows that runs competitively with the most known item set mining implementations based on SQL. Our performance evaluation was made with SQL Server 2000 (v.8) and T-SQL, throughout several synthetical datasets. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71944 |
ISBN: | 3540307370 |
DOI: | 10.1007/11595014_32 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007/11595014_32 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2005-CI-EPIA-EKBD&W-Alves&Belo-CRP.pdf Acesso restrito! | 584 kB | Adobe PDF | Ver/Abrir |