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06/19/2023
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
Big time series are increasingly available from an ever wider range of I...
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06/06/2023
Goal-Oriented Scheduling in Sensor Networks with Application Timing Awareness
Taking inspiration from linguistics, the communications theoretical comm...
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09/10/2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
The continued digitization of societal processes translates into a proli...
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06/28/2022
Mining Seasonal Temporal Patterns in Big Time Series
Very large time series are increasingly available from an ever wider ran...
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04/19/2022
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 bi...
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09/23/2021
Evolutionary Clustering of Streaming Trajectories
The widespread deployment of smartphones and location-enabled, networked...
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02/03/2021
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes
In the current context of Big Data, a multitude of new NoSQL solutions f...
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10/29/2020
On Efficient and Scalable Time-Continuous Spatial Crowdsourcing – Full Version
The proliferation of advanced mobile terminals opened up a new crowdsour...
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10/07/2020
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information – Full Version
Very large time series are increasingly available from an ever wider ran...
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06/12/2020
High-Level ETL for Semantic Data Warehouses—Full Version
The popularity of the Semantic Web (SW) encourages organizations to orga...
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02/16/2020
Multidimensional Enrichment of Spatial RDF Data for SOLAP – Full Version
Large volumes of spatial data and multidimensional data are being publis...
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11/20/2019
Multi-Source Spatial Entity Linkage
Besides the traditional cartographic data sources, spatial information c...
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06/24/2019
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data -- Accepted Version
Recent development in computing, sensing and crowd-sourced data have res...
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06/24/2019
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data
Recent development in computing, sensing and crowd-sourced data have res...
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03/25/2019
Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB
To monitor critical infrastructure, high quality sensors sampled at a hi...
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05/09/2018
Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices
Demand Response (DR) schemes are effective tools to maintain a dynamic b...
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05/07/2018
Day-ahead Trading of Aggregated Energy Flexibility - Full Version
Flexibility of small loads, in particular from Electric Vehicles (EVs), ...
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05/02/2018
Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version
The uncertainty in the power supply due to fluctuating Renewable Energy ...
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10/03/2017
