An efficient implementation scheme for multidimensional online analytical processing
Nilufar Easmin, K. M. Azharul Hasan, N. Jose Parvin ..
Abstract
Nilufar Easmin, K. M. Azharul Hasan, N. Jose Parvin ..
Abstract
Multidimensional online analytical processing (MOLAP) processes data that is already stored in a multidimensional array in which all possible combinations of data are reflected. It employs multidimensional array as their basic data structure. The intent of this paper is to develop a MOLAP model based on the scheme called extended Karnaugh map representation (EKMR) and evaluate it. The basic idea of EKMR scheme is to present multidimensional array by a set of two dimensional arrays. This reduces data access time from secondary storage if the tupple of subscripts are known. Effectiveness of this scheme over traditional multidimensional array is shown with sufficient analysis and experimental results.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Multidimensional online analytical processing (MOLAP) processes data that is already stored in a multidimensional array in which all possible combinations of data are reflected. It employs multidimensional array as their basic data structure. The intent of this paper is to develop a MOLAP model based on the scheme called extended Karnaugh map representation (EKMR) and evaluate it. The basic idea of EKMR scheme is to present multidimensional array by a set of two dimensional arrays. This reduces data access time from secondary storage if the tupple of subscripts are known. Effectiveness of this scheme over traditional multidimensional array is shown with sufficient analysis and experimental results.
Key concepts: Multidimensional data, Scheme (mathematics), Multidimensional systems, Multidimensional analysis, Computer science, Representation (politics), Set (abstract data type), Theoretical computer science