Iterative Pattern Discovery of Time Series Data
Pattern discovery in time oriented data
... automated data collection tools in business transactions processing, massive amounts of transaction data have been collected and stored in ...databases. Discovery of interesting association or ...
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Developing a pattern discovery method in time series data and its GPU acceleration
... Dynamic Time Warping (DTW) algorithm is widely used in finding the global alignment of time ...Many time series data mining and analytical problems can be solved by the DTW ...discover ...
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Improving Performance In Pattern Discovery, Modification Applied In Algorithm For Time Series
... Motif discovery; time series; algorithm; improvement; R ...NTRODUCTION Time series analysis is a wide field of studies that comprehends detecting features in time series, ...
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A New Pattern Representation Method for Time-series Data
... of time-series and not being efficient for large ...IoT data analysis as one of the motivations of this ...proposed pattern representa- tion method, as the process is applied to the segments, ...
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Artificial Neural Network Models for Pattern Discovery from ECG Time Series
... which the network will tend to learn about, or process. Whereas the output units are re- sponsible for how the network and signal will respond to the information it has learned during the process. In between the input ...
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Iterative Incremental Clustering of Time Series
... {jessica, mvlachos, eamonn, dg}@cs.ucr.edu Abstract. We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off ...
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Data-driven pattern identification and outlier detection in time series
... of data-driven pattern identification and outlier detection in time ...the time series as a matrix it becomes possible to use SVD to highlight the underlying patterns and ...a ...
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TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS
... temporal data mining is proposed. Using a pattern wavelet transform as a data mining tool has yielded meaningful ...the pattern wavelet and the underlying time ...such pattern ...
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Pattern Discovery from Event Data
... in data consisting of hidden user behaviors, they cannot be applied for event datasets for the following ...and time to derive user ...and time in an event ...user, time, location i that does ...
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Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin
... unlabeled data set by objectively organizing data into homogeneous groups where the within- group-object similarity is minimized and the between-group-object dissimilarity is maximized ...the data ...
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Multiresolution motif discovery in time series
... for pattern discovery from the bioinformatics community ...linear time – Random Pro- ...each time series ...original data. This algorithm has been widely used in time ...
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Fast Pattern Matching In Stream Time Series Data for Electrical Applications
... In this paper, we have proposed a novel MSMI representation together with a multi step filtering scheme, which facilitates detecting both static and dynamic patterns over time-series stream efficiently. The ...
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Frequent Sequential Pattern Discovery for Data Screening
... unit time in ...the time sequence each day and the quantities of packets which is left by screening the ...mean time sequence and the quantities of packets, ...
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Pattern-sensitive Time-series Anonymization and its Application to Energy-Consumption Data
... 2.1 The Smart Grid The smart grid is an initiative to save energy, based on consumption forecasts, the optimization of energy consumption, fine-grained resource planning and seam- less integration of decentralized ...
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Predefined pattern detection in large time series
... Predefined pattern Time series representation a b s t r a c t Predefined pattern detection from time series is an interesting and challenging ...of time series ...
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Data Imputation with Adversarial Neural Networks for Causal Discovery from Subsampled Time Series
... causal discovery is to identify causal relationships from observational ...causal discovery from time series ...a time scale faster than the measurement frequency, resulting in a ...
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Ontology-based discovery of time-series data sources for landslide early warning system
... the time series data, such as the earth observation (EO) and urban environment ...Such data sets are produced by a vari- ety of remote sensing satellites and Internet of things sensors which ...
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Approaches for Pattern Discovery Using Sequential Data Mining
... each time when a small set of sequences grow, or when some new sequences are added into the ...sequential pattern mining so that mining can be adapted to frequent and incremental database updates, including ...
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Unsupervised fuzzy pattern discovery in gene expression data
... We first employ Optimal Class-Dependence Discreti- zation (OCDD) [14] to partition the gene expression levels of each gene into a finite number of intervals. Treating the representative gene (the mode) as the class ...
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Discovery of Temporal Association Rules in Multivariate Time Series
... Keywords: Pattern discovery, Temporal association rule, Multivariate time ...transactional data, and a typical application is market basket ...on time-series data, changes ...
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