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The following topics are dealt with : data mining; business and process management; wireless communication; multimedia communication; computer and network security; ad hoc and sensor network; e-learning and e-society; fuzzy computing; neural network; pervasive computing; genetic algorithm; embedded and real-time system; electronic power system; mobility management; natural language processing; pattern...
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response times, data warehouse administrators casually use indexing techniques. This task is nevertheless complex and fastidious. In this paper, we present an automatic, dynamic index selection method for data warehouses that is...
Many commercial companies collect large quantities of data from daily operations. For example, customer orders or purchase data are collected daily at the counters of grocery stores. Data mining is applied on such kind of data to extract patterns that could be useful to learn about the purchasing behavior of the customers. Such information are used to support a variety of business related tasks. For...
This paper presents interim results with respect to an objective metric for the accessibility dimension of data quality. It builds on a conceptual framework developed in previous research. This framework examined the dimensions of data quality and in particular the accessibility dimension. A definition of the accessibility dimension was presented based on its objective attributes as outlined by both...
In this paper we introduce experiments with our method used for the analysis and evaluation of Web pages. The method is built on a silent agreement between Web designers and users. The key aspects of this agreement are Web patterns which are used by Web designers in their Web page implementations. Using our method we can find out whether the pattern is presented on the page with a high level of relevance...
In this paper, we propose a new data structure and a new framework of building decision tree classifiers that is especially suitable for large datasets. The most prominent feature of our algorithm is that in order to build a decision tree, only one scan over the entire database is needed. Compared with previous methods, where at each level of the tree one scan over the whole database is made, our...
This paper presents an approach to incorporating collaboration among process actors as a major construct for business process modeling. Furthermore collaboration is realized as a reusable software component. This provides today's workflow management systems with an opportunity to integrate collaboration with their existing process execution to realize full co-operation support for business process...
Various organizations are embarking on time consuming and painstaking effort to overhaul and upgrade their mission critical software systems to the enterprise level. Often, this process requires acquiring third party applications as a component or as a total solution. Major problems are encountered in evaluating and comparing various systems' architecture. This paper proposes a simple metric attached...
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