The determination of efficient record segmentations and blocking factors for shared data files
ACM Transactions on Database Systems (TODS)
Mathematical Techniques for Efficient Record Segmentation in Large Shared Databases
Journal of the ACM (JACM)
CODASYL Data-Base Management Systems
ACM Computing Surveys (CSUR)
A Practical Approach to Selecting Record Access Paths
ACM Computing Surveys (CSUR)
A record and file partitioning model
Communications of the ACM
Analysis and performance of inverted data base structures
Communications of the ACM
A relational model of data for large shared data banks
Communications of the ACM
An evaluation of statistical software in the social sciences
Communications of the ACM
Index selection in a self-adaptive data base management system
SIGMOD '76 Proceedings of the 1976 ACM SIGMOD international conference on Management of data
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
The Evolution of Vertical Database Architectures --- A Historical Review (Keynote Talk)
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Another example of a data warehouse system based on transposed files
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Collection and exploration of large data monitoring sets using bitmap databases
TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
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This paper describes the approach taken at Statistics Canada to create a generalized DBMS appropriate for the management of large statistical databases. The authors describe the requirements for statistical database processing which differ from more traditional database applications and the methods employed in storage organization and system architecture to satisfy them. Special emphasis is given to the usefulness of the transposed physical structure for the creation of statistical databases. Finally, the applicability of the system as a basis for a relational DBMS for large scale processing is discussed.