Apollinaire Bamana Batoure
Department of Computer Engineering, The University of Ngaoundere

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APPLYING MULTIDIMENSIONAL CANONICAL PARTITIONING (MCP) APPROACH TO DESIGN URBAN DECISION-SUPPORT SYSTEM Apollinaire Bamana Batoure; Michel Tchotsoua; Kolyang Kolyang
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 2 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i2.1217

Abstract

The design of decision-support systems remains a challenge because no method has yet been approved, although several approaches have been proposed. Multidimensional Canonical Partitioning (MCP) is a supply-driven approach to design decision-support systems, previously proposed. In this approach, decision systems are designed from Entity/Relationship (E/R) schema. The schema provided as input is reduced to a flat relation, if it is not already the case, by using universal relations assumption. The design approach uses two main algorithms. The first is a greedy type heuristic algorithm, and the second a matching algorithm. The approach has six steps. In this paper, we implement algorithms used in the design approach. We then propose a graphical interface as a tool for implementing the approach. The tool, called PaCaM, is intended to be used by decision-support systems designers. We after all apply the design approach on urban transactional systems.
APPLYING MULTIDIMENSIONAL CANONICAL PARTITIONING (MCP) APPROACH TO DESIGN URBAN DECISION-SUPPORT SYSTEM Apollinaire Bamana Batoure; Michel Tchotsoua; Kolyang Kolyang
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 2 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i2.1217

Abstract

The design of decision-support systems remains a challenge because no method has yet been approved, although several approaches have been proposed. Multidimensional Canonical Partitioning (MCP) is a supply-driven approach to design decision-support systems, previously proposed. In this approach, decision systems are designed from Entity/Relationship (E/R) schema. The schema provided as input is reduced to a flat relation, if it is not already the case, by using universal relations assumption. The design approach uses two main algorithms. The first is a greedy type heuristic algorithm, and the second a matching algorithm. The approach has six steps. In this paper, we implement algorithms used in the design approach. We then propose a graphical interface as a tool for implementing the approach. The tool, called PaCaM, is intended to be used by decision-support systems designers. We after all apply the design approach on urban transactional systems.