Mining categorical sequences from data using a hybrid clustering method
The identification of different dynamics in sequential data has become an every day need in scientific fields such as marketing, bioinformatics, finance, or social sciences. Contrary to cross-sectional or static data, this type of observations (also known as stream data, temporal data, longitudinal...
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| Formato: | article |
| Idioma: | eng |
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2014
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| Texto completo: | http://hdl.handle.net/10071/8074 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/8074 |