Patent
Time-series data analysis method, system and computer program
TLDR
In this article, a method is proposed to select a time lag that is the time delay until an explanatory variable time sequence applies an effect on a target variable time series, and a time window that is a time period for the explanatory variable period to apply the impact on the target time series; converting a time series based on the explanatory time series to a cumulative time series structured by the cumulative values of each variable from each time point corresponding to a certain finite time.Abstract:
A method includes selecting, with a computer, a time lag that is the time delay until an explanatory variable time sequence applies an effect on a target variable time series, and a time window that is the time period for the explanatory variable time series to apply the impact on the target variable time series; converting, based upon the explanatory variable time series, to a cumulative time series structured by the cumulative values of each variable from each time point corresponding to a certain finite time; and solving the cumulative time series as an optimized problem introducing a regularization term, to obtain the value of the time lag and the value of the time window from the solved weightread more
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Patent
Time series data adaptation and sensor fusion systems, methods, and apparatus
TL;DR: In this article, a variational inference machine, a sequential data forecast machine including a hidden state, and a machine learning model are described. And the hidden state is updated based on the time series data and the time dependency infused latent distribution.
Patent
Wireless sensor network traffic abnormality detection method based on ARIMA model
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Method for detecting flow abnormity of wireless sensor network based on GM model
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Systems and methods for deriving, storing, and visualizing a numeric baseline for time-series numeric data which considers the time, coincidental events, and relevance of the data points as part of the derivation and visualization
TL;DR: In this paper, the authors present methods and systems for deriving, storing, querying, retrieving and visualizing one or more numeric baselines for time-series numeric data which consider the time, coincidental events and relevance of the time series data points as part of baseline derivation and visualization.
Patent
System and method for multidimensional timing sequence data analysis
TL;DR: In this article, a system for discovering multidimensional events from multi-dimensional timing sequence data is presented. But the system is not suitable for the detection of time-varying events.
References
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Patent
Supply chain demand forecasting and planning
TL;DR: In this article, the authors present systems and methods for demand forecasting that enable multiple-scenario comparisons and analyses by letting users create forecasts from multiple history streams (for example, shipments data, point-of-sale data, customer order data, return data, etc.) with various alternative forecast algorithm theories.
Patent
Apparatus and method for detecting or recognizing pattern by employing a plurality of feature detecting elements
TL;DR: In this article, a pattern detecting apparatus has a plurality of hierarchized neuron elements to detect a predetermined pattern included in input patterns, and pulse signals output from the plurality of neuron elements are given specific delays by synapse circuits associated with individual elements.
Patent
A method and apparatus for forecasting future values of a time series
TL;DR: In this paper, a method of predicting at least one future value of a time series of data using a neural network by inputting information about a time such as the current time, into the neural network is presented.
Patent
Multi-dimensional multi-parameter time series processing for seizure warning and prediction
James Chris Sackellares,Leonidas D. Iasemidis,Deng-Shan Shiau,Linda K. Dance,Panos M. Pardalos,Wanpracha Art Chaovalitwongse +5 more
TL;DR: In this article, the behavior of a chaotic, multi-dimensional system is characterized by measuring each of a number of signals associated with the system, and generating therefrom, a spatio-temporal response based on each signal.
Patent
Time series analysis and forecasting program
TL;DR: In this article, a method and apparatus for performing forecasting using time series data is described, which includes designating a last portion of the data as a base pattern, searching the remaining portion for candidate patterns using the base pattern and identifying candidate forecasts corresponding to the candidate patterns.