time-series data processing
Multiple Time Series Clinical Data Processing for Classification Using Merging Algorithm
... consolidates data from various sources [10]. Data change alludes to the use of a deterministic scientific capacity to each point in the data, which may enhance the precision and proficiency of ...
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Hadoop TS: Large Scale Time Series Processing
... for time series anal- ysis are implemented in Hive [9] and Pig ...for data analysis applications or data analysis work ...require data stored within the underlying cluster, which means ...
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Fast Online Similarity Search for Uncertain Time Series
... with time series with index technique, many efforts have tried to build a spatial index structure for querying the sequence ...ing time wrapping ...a data structure that divides the ...
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Combination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting
... radiation data should be measured continuously and accurately over the long-term ...on time series ...novel data clustering method, time-series analysis, and multilayer ...
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Time series clustering in large data sets
... signal processing method dividing the signal into n parts calculating a standard deviation for each part, which results into the n-dimensional feature vector for each record- ...a time se- ...
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A Literature Review on Big Data and Time Series
... hand time, series forecasting model observes different values predict future ...current data of one or more time series has the impact on the current data of another time ...
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Nanosurveyor: a framework for real-time data processing
... a series of X-ray scattering experiments, one needs to solve a difficult phase retrieval problem, because at short wave- lengths it is only possible to measure the intensity of the photons on a ...
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Health Assessment Method of Reinforcement Processing Equipment Based on Time Series
... bar processing industry has developed rapidly, steel bar bending hoop machine, steel cage rolling welding machine, straightening machine and shearing machine and other steel bar processing equipment have ...
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Forecasting Short Time Series with Missing Data by Means of Energy Associated to Series
... missing data poses a difficulty to the analysis and decision making processes which depend on this data, requiring methods of estimation which are accurate and ...from data deletion to methods ...
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Processing of water level derived from water pressure data at the Time Series Station Spiekeroog
... level data from Neuharlingersiel and the result of the interpolation of missing ...similar data for a shorter time period (15–31 June ...and time between the data from Neuharlingersiel ...
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The Utility of Data Transformation for Alignment, de novo Assembly and Classification of Short Read Virus Sequences
... of short reads, used time series and digital signal processing data transformation techniques.. Figure 190.[r] ...
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Towards a Framework for Observational Causality from Time Series: When Shannon Meets Turing
... Abstract: We propose a novel tensor-based formalism for inferring causal structures from time series. An information theoretical analysis of transfer entropy (TE), shows that TE results from transmission of ...
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A firefly optimized feature selection in multiple time series clinical data with merging statistical measures and wavelet frequency spectrum for hcc recurrence prediction
... multiple time series clinical data processing is improved by adding one more feature called as frequency measurement feature and the efficient feature selection ...the time consumption ...
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Analysis of Time Series Data Mixed With Text
... historical data to produce seasonal monthly return rates and concluded that the well-known seasonal effect such as “Sell in May and Go away” (May through October) is a general pattern for over 300 years in all ...
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Simulation-assisted control in building energy management systems
... start time for the test room 1 heating system. Data collection was at 1 minute ...switch-on time required to bring the room to a temperature of 25°C with a nominal 1200W heat ...perature data ...
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Research on Cassandra Data Compaction Strategies for Time-Series Data
... the time loss of disk reading and writing, it is only written into a "tombstone" tag during the process of data deletion which is completed when SS Table is being ...optional data compaction ...
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Time series analyses of consumption grouped data
... as time-year of birth), q s are quarterly seasonal dummies and 5^ the cohort specific ...genuine time variation in group averages and measurement error arising from the limited sample sizes in computing the ...
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Nonlinearity Tests For Bilinear Time Series Data
... Figures 2(a) and 2(b) show the occurrence of several spikes, otherwise the plots of rainfall data are regular. On the other hand, there are a lot of spikes with high amplitudes seen in Figures 2(c) and 2(d), which ...
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Similarity Search in Time Series Data Using Time Weighted Slopes
... in time series data has been proposed. The given time sequences are pre-processed and brought to the same time ...any data distortions that may arise due to scaling along the ...
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Scaling characteristics of ULF geomagnetic fields at the Guam seismoactive area and their dynamics in relation to the earthquake
... raw data used for analysis are the digital records of the magnetic field components H, D, Z with a one-second sampling rate, taken from the nearby mag- netic observatory situated at the Guam Island 65 km from the ...
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