A universal-scheme approach to statistical databases containing homogeneous summary tables
ACM Transactions on Database Systems (TODS)
Summary-Table-By-Example: A Database Query Language for Manipulating Summary Data
Proceedings of the First International Conference on Data Engineering
Temporal Summary Table Management and Graphic Interface
Proceedings of the 5th International Conference SSDBM on Statistical and Scientific Database Management
An extension of relational algebra for summary tables
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
OLAP and statistical databases: similarities and differences
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A Spatial Data Cube Concept for Supporting Data Analysis in Environmental Epidemiology
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
An extendible multidimensional array system for MOLAP
Proceedings of the 2006 ACM symposium on Applied computing
Optimal chunking of large multidimensional arrays for data warehousing
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
History offset implementation scheme for large scale multidimensional data sets
Proceedings of the 2008 ACM symposium on Applied computing
An efficient implementation for MOLAP basic data structure and its evaluation
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Index structures for data warehouses
Index structures for data warehouses
Database system support for multidimensional data analysis in environmental epidemiology
IDEAS'97 Proceedings of the 1997 international conference on International database engineering and applications symposium
Chunked extendible dense arrays for scientific data storage
Parallel Computing
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Online analytical processing (OLAP) is becoming increasingly important as today's organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multidimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. We propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals.