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Vybrane vlastnosti atributy anotovanych dat
Řimnáč, Martin
The paper compares features of learning and querying process in the situation, when values in the input data set are annotated by attributes or this information is not available. The attribute annotation enables to consider global relationships, which are useful to express the data semantics in a explicit way. It will be shown data can be accessed with no semantic interpretation and then, after the evaluation process, the result can be interpreted.
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Methods of Searching in Large Dat Sets
Húsek, Dušan ; Pokorný, J. ; Snášel, V. ; Řezanková, H.
The lecture digest present formal methods used in the area of information retrieval intent on large data collections. Data collections have increased rapidly in last decade so new methods based on statistics, linear algebra, neural network etc. can be used. Generally, we can image processing a large data collection placed in the highly dimensional space. The most important point during processing these data appears reduction of dimensionality.
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