12 citations · 15 across the 5 of their papers we have counts for
5 papers
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
Van Long Ho, Nguyen Ho, Torben Bach Pedersen +1
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 p…
Mining Seasonal Temporal Patterns in Time Series
Van Long Ho, Nguyen Ho, Torben Bach Pedersen
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…
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series -- Full Version
Nguyen Ho, Van Long Ho, Torben Bach Pedersen +2
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 relat…
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information -- Full Version
Van Long Ho, Nguyen Ho, Torben Bach Pedersen
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 t…
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data -- Accepted Version
Nguyen Ho, Huy Vo, Mai Vu +1
Recent development in computing, sensing and crowd-sourced data have resulted in an explosion in the availability of quantitative information. The possibilities of analyzing this s…