Applying Fuzzy cluster index to improve searching in data warehouse

Authors

  • Ahmad Abdullah Mohammed Department of Information Technology, Institute of Graduate Studies & Research, Alexandria University, Alexandria, Egypt
  • Shawkat Kamal Guirguis Prof. of Computer Science Department of Information Technology Institute of Graduate Studies and Research Alexandria University
  • Magda Mohamed Madbouly Lecturer of Computer Science Department of Information Technology Institute of Graduate Studies and Research Alexandria University

DOI:

https://doi.org/10.14738/tnc.32.1021

Keywords:

Data Warehouse, Apriori Algorithm, Fuzzy Cluster Index (FCI), Fuzzy Rule.

Abstract

Data Warehouse (DW) is one of the solutions for decision-making process in a business organization. But it only stores data for managerial purpose and it has no intelligent mechanism for decision making. For improving the process of decision making and searching Data Warehouse (DW) of the medical resources (items), where this study includes an application on a  Data Warehouse (DW) of medical resources (items).In this paper, we merged the fuzzy rule with cluster index technique. where The proposed technique is named Fuzzy Cluster Index technique (FCI) to improve and speed up Queries fuzzy rule and process of decision making and management medical (items), The performance evaluation of three data warehouse queries is focused in this paper by comparing with Fuzzy cluster index technique (FCI), Fuzzy Rule and Index-based Apriori Algorithm to observe the results of variable size dataset with respect to time. Eventually, the designed system was constructed and executed by using (C# version 2010) which is a visual and object oriented programming language. This proves the efficiency of the proposed system for improving searching in Data Warehouse (DW) and the decision support system for the medical items in a perfect way.

Author Biographies

Ahmad Abdullah Mohammed, Department of Information Technology, Institute of Graduate Studies & Research, Alexandria University, Alexandria, Egypt

Department of Information Technology                               

Institute of Graduate Studies and Research                        

Alexandria University

Shawkat Kamal Guirguis, Prof. of Computer Science Department of Information Technology Institute of Graduate Studies and Research Alexandria University

                                 

Department of Information Technology                               

Institute of Graduate Studies and Research                        

Alexandria University                                                                

Magda Mohamed Madbouly, Lecturer of Computer Science Department of Information Technology Institute of Graduate Studies and Research Alexandria University


Department of Information Technology
Institute of Graduate Studies and Research
Alexandria University

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Published

2015-05-02

How to Cite

Mohammed, A. A., Guirguis, S. K., & Madbouly, M. M. (2015). Applying Fuzzy cluster index to improve searching in data warehouse. Discoveries in Agriculture and Food Sciences, 3(2), 12. https://doi.org/10.14738/tnc.32.1021