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cs.DB2020★ 1 cited
Categorical anomaly detection in heterogeneous data using minimum description length clustering
James Cheney, Xavier Gombau, Ghita Berrada +1
Fast and effective unsupervised anomaly detection algorithms have been proposed for categorical data based on the minimum description length (MDL) principle. However, they can be i…
cs.DB2016
Satellite Images Analysis with Symbolic Time Series: A Case Study of the Algerian Zone
Dalila Attaf, Djamila Hamdadou, Sidahmed Benabderrahmane +1
Satellite Image Time Series (SITS) are an important source of information for studying land occupation and its evolution. Indeed, the very large volumes of digital data stored, usu…