The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have been developed to cope with multidimensional data. In this paper we are concerned with mining association rules in data warehouses by focusing on its measurement of summarized data. We propose two algorithms: HAvg and...

Successfully supporting managerial decision-making is critically dependent upon the availability of integrated, high quality information organized and presented in a timely and easily understood manner. Data warehouses have emerged to meet this need. They serve as an integrated repository for internal and external data—intelligence critical to understanding and evaluating the business within it...

Multidimensional data warehouses and OLAP systems do not provide adequate means for dealing with changes in dimension data, changes appearing frequently in dynamic application areas as current business systems. As data warehouses and OLAP tools serve as decision support systems they have to reflect such changes. Temporal data warehouses propose sophisticated modelling tools for covering any cha...

The paper aims at analysing Business Intelligence Systems (BI) in the context of opportunities for improving decision-making in a contemporary organisation. The authors – taking specifics of a decision-making process together with heterogeneity and dispersion of information sources into consideration – present Business Intelligence Systems as some holistic infrastructure of decisionmaking. It h...

This paper presents work related to the design of distributed systems, which is useful for emerging Internet applications. We propose algorithms for searching and managing distributed information about resources and services using locally available warehouses. The concept of warehouses has been introduced in the Web Operating System (WOS) (Kropf 1999). Warehouses have the ability to decide whic...

This study considers a supply chain that consists of n retailers, each of them facing a newsvendor problem, m warehouses and a supplier. The retailers are supplied with a single product via some warehouses. In these warehouses, the ordered amounts of goods of these retailers become available after some lead time. At the time that the goods arrive at the warehouses, demand realizations are known...

Among the various existing models for the warehousing management, the simultaneous use of private and public warehouses is as the most well-known one. The purpose of this article is to develop a queuing theory-based model for determining the optimal capacity of private warehouse in order to minimize the total corresponding costs. In the proposed model, the available space and budget to create a...

The key of an effective management of enterprises is applying intelligent software tools to define decision analysis process, from data acquisition to recommended action, including an adaptive feedback. Decision support systems (DSS) have multiple data sources that contain valuable information that must be integrated and processed to allow the key business processes to have adaptive business in...