Zobrazeno 1 - 4
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pro vyhledávání: '"Martin Schierle"'
Autor:
Martin Schierle, Daniel Trabold
Publikováno v:
Advances in Data Analysis, Data Handling and Business Intelligence ISBN: 9783642010439
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With respect to the increasing volume of textual data which is available through digital resources today, the identification of the main concepts in those texts becomes increasingly important and can be seen as a vital step in the analysis of unstruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a2178016aa864cad0a1e93ece0102b1
https://doi.org/10.1007/978-3-642-01044-6_30
https://doi.org/10.1007/978-3-642-01044-6_30
Autor:
Daniel Trabold, Martin Schierle
Publikováno v:
ICMLA
Quality analysis in the automotive domain is up to now mainly focused on structured data obtained from repair visits, using for example association rules or decision trees on model families, model years and damage codes. This work will outline a way
Publikováno v:
Data Analysis, Machine Learning and Applications ISBN: 9783540782391
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Spelling correction is the task of correcting words in texts. Most of the available spelling correction tools only work on isolated words and compute a list of spelling suggestions ranked by edit-distance, letter-n-gram similarity or comparable measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9a84a9411dafc6bcb44733b694d1fd
https://doi.org/10.1007/978-3-540-78246-9_47
https://doi.org/10.1007/978-3-540-78246-9_47
Autor:
S. Schulz, Martin Schierle
Publikováno v:
ICMLA
Bootstrapping algorithms for information extraction gained a lot of attention in the scientific community over the past few years. Therefore the approaches used differ in major parts of the algorithms as well as in detail. This paper will give an ove