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
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
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
Peatland fire detection using spatio-temporal data mining analysis in Kalimantan, Indonesia
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Tropical Forest Science"
DOI: 10.26525/jtfs2018.30.2.154162
Abstract: Peatland fire has been an important environmental issue in Indonesia as well as in ASEAN region as it is strongly related with transboundary haze pollution. Hotspot has been used as an indicator of forest and… read more here.
Keywords: temporal data; data mining; peatland; spatio temporal ... See more keywords
Research on Fuzzy Temporal Event Association Mining Model and Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12020117
Abstract: As traditional models and algorithms are less effective in dealing with complex and irregular temporal data streams, this work proposed a fuzzy temporal association model as well as an algorithm. The core idea is to… read more here.
Keywords: temporal event; fuzzy temporal; temporal data; model ... See more keywords
Deep Neural Networks for Spatial-Temporal Cyber-Physical Systems: A Survey
Sign Up to like & getrecommendations! Published in 2023 at "Future Internet"
DOI: 10.3390/fi15060199
Abstract: Cyber-physical systems (CPS) refer to systems that integrate communication, control, and computational elements into physical processes to facilitate the control of physical systems and effective monitoring. The systems are designed to interact with the physical… read more here.
Keywords: neural networks; deep neural; physical systems; temporal data ... See more keywords