Access patterns mining from massive spatio-temporal data in a smart city
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1791-1
Abstract: Facing with massive spatio-temporal data, the traditional pattern mining methods fail to directly reflect the spatio-temporal correlation and transition rules of user access in a smart city. In this paper, we analyze the characteristics of… read more here.
Keywords: temporal data; massive spatio; user access; spatio temporal ... See more keywords
Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-020-9349-0
Abstract: With the advancement of telecommunications, sensor networks, crowd sourcing, and remote sensing technology in present days, there has been a tremendous growth in the volume of data having both spatial and temporal references. This huge… read more here.
Keywords: temporal data; spatio temporal; survey; data driven ... See more keywords
A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2019.1695624
Abstract: Abstract Mining temporal data for information is often inhibited by a multitude of formats: regular or irregular time intervals, point events that need aggregating, multiple observational units or repeated measurements on multiple individuals, and heterogeneous… read more here.
Keywords: temporal data; data structure; tidy data; time ... See more keywords
A Novel Algorithm for Evaluating Clustering Propensity of IoT-Generated Spatio-Temporal Data Geared for Distributed Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3322464
Abstract: Spatio-temporal (ST) data generated by Internet of Things (IoT) devices is expected to grow exponentially in the future on a massive scale. The clustering of this massive amount of space-time data is expected to help… read more here.
Keywords: iot generated; time; novel algorithm; temporal data ... See more keywords
Optimizing Temporal Data Forecasting for Stiffness-Modulated MEMS Reservoir Computing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3446672
Abstract: This study details an advanced method of algorithm optimization, specifically developed for a novel reservoir computing (RC) architecture to forecast temporal information. Our physical RC is implemented using micro-electro-mechanical systems (MEMSs), ingeniously employing stiffness modulation,… read more here.
Keywords: forecasting stiffness; data forecasting; stiffness modulated; reservoir computing ... See more keywords
An Efficient Temporal Data Prefetcher for L1 Caches
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Computer Architecture Letters"
DOI: 10.1109/lca.2017.2654347
Abstract: Server workloads frequently encounter L1-D cache misses, and hence, lose significant performance potential. One way to reduce the number of L1-D misses or their effect is data prefetching. As L1-D access sequences have high temporal… read more here.
Keywords: temporal data; domino; domino prefetcher; efficient temporal ... See more keywords
Popup-Plots: Warping Temporal Data Visualization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2018.2841385
Abstract: Temporal data visualization is used to analyze dependent variables that vary over time, with time being an independent variable. Visualizing temporal data is inherently difficult, due to the many aspects that need to be communicated… read more here.
Keywords: temporal data; time; data visualization; plots warping ... See more keywords
Spatial-temporal data imputation for predictive modeling in intelligent transportation systems
Sign Up to like & getrecommendations! Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v38.i2.pp794-807
Abstract: Data imputation is necessary to overcome data loss in intelligent transportation systems (ITS) due to the many sensors used to monitor traffic conditions. Sensor malfunction, hardware limitations, and technical glitches can lead to incomplete data,… read more here.
Keywords: data imputation; predictive modeling; temporal data; intelligent transportation ... See more keywords
Dynamic clustering and modeling of temporal data subject to common regressive effects
Sign Up to like & getrecommendations! Published in 2022 at "Neurocomputing"
DOI: 10.14428/esann/2021.es2021-121
Abstract: . Clustering is used in many applicative fields to summarize information into a small number of groups. Motivated by behavioral extraction issues from urban data, the interest of this paper is to propose a classification… read more here.
Keywords: common regressive; modeling temporal; temporal data; clustering modeling ... See more keywords
Using computer clusters for processing spatial-temporal data streams in data acquisition systems
Sign Up to like & getrecommendations! Published in 2018 at "Geodesy and Cartography"
DOI: 10.22389/0016-7126-2018-935-5-54-63
Abstract: Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this… read more here.
Keywords: temporal data; data streams; acquisition systems; spatial temporal ... See more keywords
On the issues of ultra-fast processing voluminous spatio-temporal data
Sign Up to like & getrecommendations! Published in 2021 at "Geodesy and Cartography"
DOI: 10.22389/0016-7126-2020-966-12-50-56
Abstract: The author examines the current state of development and processing large spatio-temporal data. Parallel computing is seen as a new technology for handling big volumes of it. The use of ultra-high-speed processing as an analysis… read more here.
Keywords: temporal data; issues ultra; spatio temporal; processing voluminous ... See more keywords