ACM Transactions on Database Systems (TODS)
Towards an effective calculus for object query languages
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Equivalence of Relational Algebra and Relational Calculus Query Languages Having Aggregate Functions
Journal of the ACM (JACM)
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
A Framework for the Investigation of Aggregate Functions in Database Queries
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Managing Meta Objects for Design of Warehouse Data
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
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OLAP operations have been widely accepted as a suitable method for decision support by data analysis. Among others, roll-up and drill-down are practically implemented by using database operations. However, we cannot define them as inverses of each other since they assume how to manage materialized views. In this work, we model these operators in the framework of meta objects, and extend relational algebra by introducing meta operators group and apply. Then we show two OLAP operations can be managed within the framework of (new) database operations.