[ACM Press the 7th ACM international workshop - Washington, DC, USA (2004.11.12-2004.11.13)] Proceedings of the 7th ACM international workshop on Data warehousing and OLAP - DOLAP '04 - A new OLAP aggregation based on the AHC technique

✍ Scribed by Messaoud, Riadh Ben; Boussaid, Omar; Rabas�da, Sabine

• Book ID: 121488552
• Publisher: ACM Press
• Year: 2004
• Tongue: English
• Weight: 328 KB
• Category: Article
• ISBN-13: 9781581139778
• DOI: 10.1145/1031763.1031777

✦ Synopsis

Nowadays, decision support systems are evolving in order to handle complex data. Some recent works have shown the interest of combining on-line analysis processing (OLAP) and data mining. We think that coupling OLAP and data mining would provide excellent solutions to treat complex data. To do that, we propose an enhanced OLAP operator based on the agglomerative hierarchical clustering (AHC). The here proposed operator, called OpAC (Operator for Aggregation by Clustering) is able to provide significant aggregates of facts refereed to complex objects. We complete this operator with a tool allowing the user to evaluate the best partition from the AHC results corresponding to the most interesting aggregates of facts.