Time series data
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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Detecting Path Anomalies in Time Series Data on Networks
... in time series data has important applications, ...to time series data that contain paths in ...such data contain a large number of indepen- dent observations of short ...
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Mining previously unknown patterns in time series data
... This thesis has addressed discovering previously unknown patterns in CPU host load data and time series data. The recent decade has seen significant growth in the number of applications of ...
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Analysis of Time Series Data Mixed With Text
... a time series data such as the Nikkei 225 index or foreign currency exchange USD/JPY past data and text corpus related to Japanese economy and finance news or ...of time series ...
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Joint prediction of time series data in inventory management
... multiple time series data, meanwhile keep- ing a competitive prediction ...single time series prediction ignores the relationship between stock in and stock ...state-of-the-art ...
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Privacy Preserving Similarity Evaluation of Time Series Data
... of time series databases in finan- cial, medical and transportation applications have become more and more important ...in time series databases is to compute the similarity between two ...
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A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... forecast time series data according to needs of the ...a time series as a combination of its past values received a strong impulse after Box & Jenkins ...a time series ...
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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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Learning Interpretable Features of Graphs and Time Series Data
... and time series are two of the most ubiquitous representations of data of modern ...and time-series data is a key component for the downstream supervised and unsupervised machine ...
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Improved Hierarchical Clustering Using Time Series Data
... of time series data sets. Three types of data sets are used to evaluate the proposed ...The data sets are namely ECG Data, EEG Data and Network Sensor ...ECG Data ...
5
Anomaly Detection on Time Series Data
... on Time Series Data presents my original work carried out as a postgraduate student of NIT Rourkela and, to the best of my knowledge, contains no material previously published or written by another ...
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Recent Techniques of Clustering of Time Series Data: A Survey
... to time series clustering by combining RPCL (rival-penalized competitive learning) with different ...benchmark time series data mining ...
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Technical Breakdown of a Time-Series Data Federation System
... The Data Brokering Layer was successfully re-purposed and extended to facilitate the harvesting of time-series data from new data service providers, and the new functionality kept ...
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Transition in Time Series Data Mining on Correlated Items
... different time points in the database, in [9] method to find lightly supported Boolean association rule is proposed by dividing the data into subsets according to time and then apply Apriori to mine ...
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Unsupervised Fraud Detection in Time Series data
... • Then the most important task of PGA method is to identify peer groups for all the target observations (objects). Member of peer groups are the most similar objects to the target object. In order to make the definition ...
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Cointegration Analysis of Financial Time Series Data
... a time span of two years. Hourly closing data of EUR/USD, GBP/USD, AUD/USD, USD/CAD, USD/JPY, NZD/USD, and US- D/CHF were used to form the cointegrated ...cointegrated series’ found and was traded ...
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Pseudometrics for Nearest Neighbor Classification of Time Series Data
... Since its inception in the 1950s ([1], [2]), k -nearest neighbor ( -NN) still receives regular interest among researchers; both in the theoretical aspect and the practical aspect. Its discrimination procedure is simple ...
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Bayesian Methods for Functional and Time Series Data
... multivariate time series of functional data. Functional data anal- ysis (FDA) methods are widely applicable, including diverse fields such as eco- nomics and finance ...functional data ...
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Analysis of Gene Expression Microarray Time Series Data
... transcription levels expressed periodically within the cell cycle. In [72], the yeast cell cycle synchronized by alpha factor has been examined, where the samples are measured at time 0 and every 10 minutes, for a ...
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