Maria Antonina Mach

Intelligent techniques for business intelligence in healthcare

Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing.

Knowledge Granularity and Representation of Knowledge: Towards Knowledge Grid

Knowledge granularity, usually identified with the size of knowledge granules, seems to be real challenge for knowledge consumers as well as for knowledge creators. In this paper, relationships between knowledge granularity as a result of different ways of a knowledge representation are considered. The paper deals with the problem of developing knowledge grid in the context of encapsulation of knowledge including different dimensions and measures. The origin of the problem is discussed in the first section stressing flexibility of knowledge interpretations. Concepts of knowledge granularity (also from formal point of view) are presented in the next section. The nature of well represented knowledge is considered in the next chapter with references to granularity of knowledge. In the last part of the paper the question of formulating knowledge granularity in the context of knowledge grid concepts is discussed. This document comprising guidelines for authors is divided into several sections.

Granularity of Knowledge from Different Sources

The paper deals with the problem of knowledge granularity in case of building intelligent systems. The origin of the problem is discussed, some knowledge classifications are presented, next the links between types of knowledge and knowledge granularity are shown. In the last part of the paper the question of knowledge granularity types and their usage in intelligent systems is presented and discussed.

The Client-informing Policy in E-commerce System

Our proposal is to work out the client-informing policy that will guarantee success for e-commerce and provide significant utility to the customers. This idea is motivated by a need to create a marketing tool that will include marketing features that are not represented by currently existing supporting tools for ecommerce, e.g. different kinds of recommender systems. They have only local character in the light of the whole e-commerce system. The perspective of the client-informing policy links other fe atures that affect e-commerce activities. We focus on the task of determining the policy structure.