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- W195865400 abstract "Mining evolving behavior over multi-dimensional structures is increasingly critical for planning tasks. On one hand, well-studied techniques to mine temporal structures are hardly applicable to multi-dimensional data. This is a result of the arbitrary-high temporal sparsity of these structures and of their attribute-multiplicity. On the other hand, multi-label classification over denormalized data do not consider temporal dependencies among attributes." @default.
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- W195865400 date "2012-01-01" @default.
- W195865400 modified "2023-09-25" @default.
- W195865400 title "On the Need of New Approaches for the Novel Problem of Long-Term Prediction over Multi-dimensional Data" @default.
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- W195865400 doi "https://doi.org/10.1007/978-3-642-30454-5_9" @default.
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