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Tytuł artykułu

Reasoning in Information Maps

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
We investigate patterns over information maps. Such patterns can represent information changes (e.g., in time or space) across information maps. Any map is defined by some transition relation on states. Each state is a pair consisting of a label and information related to the label. Introduced concepts are illustrated by examples. We also discuss searching problems for relevant patterns extracted from data stored in information maps. Some patterns can be expressed by temporal formulas. Then, searching is reduced to searching for relevant temporal formulas. We generalise association rules over information systems to association rules over information maps. Approximate reasoning methods based on information changes are important for many applications (e.g., related to spatio-temporal reasoning). We introduce basic concepts for approximate reasoning about information changes across information maps. We measure degree of changes using information granules. Any rule for reasoning about information changes specifies how changes of information granules from the rule premise influence changes of information granules from the rule conclusion. Changes in information granules can be measured, e.g., using expressions analogous to derivatives. Illustrative examples are also presented.
Wydawca
Rocznik
Strony
241--259
Opis fizyczny
Bibliogr. 39 poz.
Twórcy
autor
  • Institute of Mathematics, Warsaw University, Banacha 2 02-097 Warsaw, Poland
autor
  • Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, Poland
Bibliografia
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  • [21] Peters, J. F., Skowron. A., Synak, P., Ramanna, S.: Rough Sets and Information Granulation, Tenth International Fuzzy Systems Association World Congress IFSA (T. Bilgic. D. Baets, O. Kaynak. Eds.), Lecture Notes in Artificial Intelligence, vol. 2715 of Lecture Notes in Artificial Intelligence, Springer-Verlag. Istanbul. Turkey, June 30 - July 2 2003, 370-377.
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  • [23] Polkowski. L., Skowron, A.: Towards Adaptive Calculus of Granules, Computing with Words in Information/Intelligent Systems (L. A. Zadeh, J. Kacprzyk, Eds.), Physica-Verlag. Heidelberg. Germany, 1999, 201-227.
  • [24] Roddick, J. F., Hornsby, K., Spiliopoulou, M.: YABTSSTDMR - Yet Another Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research. SIGKDD Temporal Data Mining Workshop (K. P. Unnikrishnan, R. Uthurusamy, Eds.), ACM Press. San Francisco, CA, 2001, 167-175.
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  • [33] Synak. P.: Decomposition of large databases growing in time, Eigth International Conference on Information Processing and Management of Uncertainty on Knowledge Based Systems IP MU, vol. I. Madrid. Spain. July 3-7 2000, 234-239.
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  • [39] Zadeh. L. A.: A New Direction in AI: Toward a Computational Theory of Perceptions, AI Magazine, 22( I), 2001,73-84.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS2-0005-0013
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