Studia Informatica

Volume: 1(10)
Year: 2008
Publishing: Publishing House of University of Podlasie
Scientific Editor: Andrzej Wisniewski
ISSN: 1731-2264


Kakiashvili T., Koczkodaj W.W., Matheson D., Montgomery P., Passi K., Rybakowski F., Tadeusiewicz R., Woodbury-Smith M.,
Supporting a Medical Diagnostic Process by Selected AI Methods: an Asperger Syndrome Case Study
pp. 5-13
Abstract: A medical knowledge-driven diagnostic process can be supported by AI methods as presented here by an Asperger Syndrome case study. Two methods: consistency-driven pairwise comparisons (CDPC) and automatic understanding (AU) are presented in this study. Deficiencies of a data-driven model for the medical diagnostic process and clinical reasoning are also discussed.
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Arsoba R., Suszyński Z.,
Application of Genetic Algorithm to Determine Thermal Properties of Microelectronic Layered Structures
pp. 15-26
Abstract: In the paper, possibilities of application of genetic algorithms to determine thermal properties depth profile in microelectronic layered structures were presented. A developed com- putational method was described and results obtained using the method for a thyristor structure were presented.
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Barczak A., Zacharczuk D.,
Presentation of relational and multimedia data using DAD access descriptors in Oracle 10g
pp. 27-35
Abstract: The form in which information stored in a database is presented to the user is as important as the data itself. Every year WWW websites are becoming more and more popular and easily accessible way of data visualization. This chapter is devoted to the problem of access to Oracle database from the search engine. Therefore, we shall discuss issues concerning the access descriptor in Oracle 10g and data presentation (both relational and multimedia) using i.a. HTF and HTP packages.
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Barczak A., Wolski M.,
Data warehouse design based on UML language
pp. 37-48
Abstract: Modern management in organizations of the 21st century are efficient and dynamic decisions based on collected and well analyzed data. There are growing needs with regard of data analysis related to multiplanar work in corporations force formation of new data warehouses whose construction becomes more and more complex. In this paper we present one of the design methodologies applying to the design of data warehouses. Transformations were particularly emphasized that enable the application of UML models involving Common Warehouse Metamodel.
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Gavrilova T., Jin HaiNan,
Managing Educational Knowledge Using Visual Ontologies
pp. 49-60
Abstract: Knowledge portal is an approach used to provide view onto domain-specific information on the World Wide Web. In this paper, we present one approach by using ontology engineering as a conceptual backbone and relationships for knowledge extracting, structuring and formalizing in a comprehensive way for building knowledge portal. For illustration of a practical ontology development for knowledge portal, the described ideas are implemented in a system for international student service.
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Podraza R., Walkiewicz M., Dominik A.,
Application of Credibility Coefficients Based on Decision Rules
pp. 61-73
Abstract: Credibility coefficients reflect similarity of objects in respect to other ones in information systems. For decision tables we can use credibility coefficients based on decision rules. Knowledge discovery methods can extract rules from an information system. The knowledge represented by the rules may be not exact due to improper data. Calculation of credibility coefficients is based on an assumption that majority of data is correct and only a minor part may be improper. The main purpose of using credibility coefficients is to indicate to which group a particular object probably belongs. A main focus of the paper is set on an algorithm of calculating credibility coefficients and a presentation how credibility coefficients can be used. The algorithm of presented credibility coefficients is based on decision rules, which are generated using the rough set theory. Some remarks on practical results of identifying improper data by credibility coefficients are inserted in the paper as well.
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Chudzian P.,
Text classification using word sequences
pp. 75-85
Abstract: The article discusses the use of word sequences in text classification. As opposed to n- grams, word sequences are not of a fixed length and therefore allow the classifier to obtain flexibility necessary to operate on documents collected from various sources. Presented classifier is built upon the suffix tree structure which enables word sequences to take part in classification process. During classification, both single words and longer sequences are taken into account and have impact on the category assignment with respect to their frequency and length. The Suffix Tree Classifier and well known Naive Bayes Classifier are compared and their properties are discussed. Obtained results show that incorporating word sequences into text classification can increase accuracy and reveal some interesting relations between maximal length of used sequences and classifier's error rate.
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Kujawiak M.,
Algorithm CFP-SFP with parallel processing
pp. 87-93
Abstract: Existing algorithms for finding association rules do not implement parallel processing. This paper proposes CFP-SFP (Creating Frequent Patterns with Set from Frequent Patterns algorithm with parallel processing. The research involves running CEP-SEP algorithm with one thread and a dozen or so threads that are executed simultaneously. The research was conducted on a computer with one processor and dual-core processor.
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