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pro vyhledávání: '"Ho, Van Long"'
Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal patterns from these time series. Temporal pattern mining (TPM) extends
Externí odkaz:
http://arxiv.org/abs/2306.10994
Very large time series are increasingly available from an ever wider range of IoT-enabled sensors, from which significant insights can be obtained through mining temporal patterns from them. A useful type of patterns found in many real-world applicat
Externí odkaz:
http://arxiv.org/abs/2206.14604
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series -- Full Version
The wide deployment of IoT sensors has enabled the collection of very big time series across different domains, from which advanced analytics can be performed to find unknown relationships, most importantly the correlations between them. However, cur
Externí odkaz:
http://arxiv.org/abs/2204.09131
Very large time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in different environments. Significant insights can be gained by mining temporal patterns from these time series. Unlike traditional pattern mi
Externí odkaz:
http://arxiv.org/abs/2010.03653
Title: A case study for LORAMAX on supply chain strategy & production efficiency. Limitations: Due to the sensitive nature of the information in this thesis, a non-disclosure agreement was signed, and some data cannot be disclosed. Background: LORAMA
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-12304
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