Vyhledávání a analýza popisujících výjezdy hasičského záchranného sboru

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Title in English Retrieval and analysis of reports on a fire brigade operations
Authors

GÉRYK Jan BAYER Jaroslav POPELÍNSKÝ Lubomír

Year of publication 2011
Type Article in Proceedings
Conference Sborník konference Znalosti 2011
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords machine learning; data mining; fireman brigade; text classification; text preprocessing; lemmatization
Description Retrieval and analysis of reports on a fire brigade operations. The article deals with the searching of texts on the internet based on the information obtained from the firemen database. The goal is to classify texts into several categories. We describe the methods of text collection and text mining. The highest overall classification accuracy - by the type of incident and geographic situation - reaches 86 % and 96 %. The given database consists of more than 116,000 records. We have tried to search and download texts describing about 4,000 selected events. We have succeeded in more than 2,900 cases.
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