Software Downloads for "Weka Time Series Forecasting"

Mackey-Glass Time Series Forecasting using Wang-Mendel Method.

  • Platform: Matlab, Scripts
  • Publisher: Satvir Singh
  • Date: 21-03-2013
  • Size: 143 KB

Open source (BSD) PowerShell snap-in featuring CmdLets dedicated to time-series forecasting. Time-series forecasting includes demand forecasting, sales analysis, inventory planning, retail prediction, production forecast, prices predictions, staff scheduling, resource optimization ... Technically, Lokad OpenShell interacts with the Lokad Web Services. Lokad specializes in business time-series forecasting. Upload your data and download your forecasts. The CmdLets available are: Add-TimeValue, Clear-TimeValues, Connect-Lokad, Disconnect-Lokad, Get-Forecast, Get-ForecastingTasks, Get-TimeSerieDetails, Get-TimeSeries, New-ForecastingTask, New-TimeSerie, Remove-ForecastingTask, Remove-TimeSerie.

  • Platform: Windows
  • Publisher: lokad.com
  • Date:
  • Size: 20 KB

There are three methods (1, 2 & 3 [Back-propagation]) for forecasting a time series. Here is a collection of MATLAB programming, screen shorts, Fig files giving results. Follow comments in the files to run programs.

  • Platform: Matlab, Scripts
  • Publisher: Satvir Singh
  • Date: 02-02-2013
  • Size: 256 KB

Time Series API is a professional C++ class library for simulating (backtesting) and deploying financial trading strategies as well as general purpose time series modelling. The library is a stand-alone time series engine that can be extended via a component object model. Models are defined using 'formula syntax and semantics' made possible by a set of lightweight interface classes that supersede the component framework. The library supports the modelling of even the most complex ideas, is easily extended, and supports deployment in any timeframe (variable or fixed, with intervals as short as one millisecond).

  • Platform: WinOther
  • Publisher: PERITECH
  • Date: 18-11-2012
  • Size: 26726 KB

Time Series Framework is a reliable solution designed to allow applications to be architected as measurement routing systems. Any application can host the framework which will allow the system become a “measurement router”.

The time-series framework can be molded to route measurements in any fashion, but the system defines three fundamental measurement processing categorizations to kick start most any time-series processing architecture; these are the Input, Action and Output interface adapters.

Time Series Analyzer is tool for time series analyzing, creating of regression models,
smoothing, seasonal adjustment, hypothesis testing, prediction, curves making, etc. Application has very nice visually output for many of supported areas.

With Time Series Analyzer, you can analyze your own time series and view statistics graphs. Minimum starting settings, possibility to implemement that changes later.

Note: Free for personal use only

.

Zaitun Time Series is a free and open source software designed for statistical analysis of time series data. It provides easy way for time series modeling and forecasting.

Zaitun Time Series is a free software. It can be used for any purpose, includes for commercial use.

Why Zaitun Time Series

* Simple and easy to use
The interface is designed by considering the ease of user. The interface is consisted of three main views, they are project view, variable view, and result view which simplify the management of the time series data and the analysis or forecasting result.

The program is based on the powerful model-free method of time series analysis Caterpillar-SSA (Singular Spectrum Analysis). The result of the Caterpillar-SSA processing is identification, analysis and forecast of additive components of time series (trends, periodicities, noise). The program can be applied to multivariate analysis/forecasting and change-point detection..

  • Platform: WinOther
  • Publisher: GistaT Group
  • Date: 17-08-2001
  • Size: 788 KB

This MS Excel file with few sheets which contain Mackey Glass Time Series Data corrupted with different noise levels, viz. 10dB, 15dB, 20dB, 25dB and 30dB..

  • Platform: Matlab, Scripts
  • Publisher: Satvir Singh
  • Date: 19-04-2013
  • Size: 154 KB

Use this function to plot several time series aligned beneath each other with shaded blocks highlighting important sections..

  • Platform: Matlab, Scripts
  • Publisher: Carl Fischer
  • Date: 22-03-2013
  • Size: 10 KB

GeneXproTools is an extremely flexible predictive modeling tool designed for Function Finding, Classification, Time Series Prediction and Logic Synthesis. With GeneXproTools you can create analytical models in a few moments just by loading data and starting a run. With GeneXproTools it is not essential that you have domain specific knowledge to create models, you just need the experimental data and a modern computer. GeneXproTools is very easy to use and as soon as you learn how to load your data, you will be able to generate a model immediately as GeneXproTools comes with a series of templates that only require a mouse click for you to design a model.

  • Platform: Windows
  • Publisher: Gepsoft Limited
  • Date: 17-07-2006
  • Size: 26633 KB

Statistical Analysis and Inference Software for Windows covering everything from Average, Mode and Variance through to Hypothesis Analysis, Time Series and Linear Regression. Includes Online Help, Tutorials, Graphs, Summaries, Import/Export, Customisable Interface, Calculator, Live Spell Check, Install/Uninstall and much more. - Single, Dual (paired and unpaired) and Multiple Data Analysis (Multivariate analysis not in Lite Version). - Data can be either for Sample or Population. - Data can be Time Based for Time Series Analysis.

  • Platform: Windows
  • Publisher: ESB Consultancy
  • Date: 13-05-2008
  • Size: 6715 KB

GMDH Shell is an advanced but easy to use tool for predictive modeling and data mining. The software combines well proven machine learning technology and extended capabilities for effective use of multi-core, multiprocessor and clustered computers. GMDH Shell makes processing of data much easier in many aspects. It is able to automatically detect usable data inside a file, transform data according to a problem type, drop irrelevant inputs and, finally, construct a set of predictive models at the base of optimal complexity detection and self-organization principals.

The Time Series Toolbox is a set of software components that simplify the task of building applications that record, process, store and publish time series of observations. Current main application area are sensor networks..

Only in very simple situations can we describe the correlation between two time series as a single number. Often it varies both as a function of time, and of wavelength. Datasets may be uncorrelated on short timescales due to noise, but strongly correlated on larger wavelengths (eg annual). This program will compute (using wavelets) the correlation as a function of both time and wavelength. Anticorrelation (s=-1) is displayed in blue, zero correlation (s=0) in green, and positive correlation (s=+1) in red.

  • Platform: Matlab, Scripts
  • Publisher: Gordon Cooper
  • Date: 05-05-2013
  • Size: 10 KB

[h,varargout]=plotColumns(data,varargin) plots columns of a matrix as if each column is a time series USAGE: plotColumns(data); [h] = plotColumns(t,data); [h] = plotColumns(t,data,{colors}); [h] = plotColumns(t,data,'plotopt'); [h] = plotColumns(...,'plotopt'); [h] = plotColumns(...,{colors});.

  • Platform: Matlab, Scripts
  • Publisher: Joshua Carmichael
  • Date: 26-01-2013
  • Size: 10 KB

This a very simple function that produces a condensed, approximate version of the time-series signal y, with each group of n adjacent points in y replaced by its average. You can use this to condense over-sampled signals so that subsequent processing will be easier and faster. Or you can use it to speed up preliminary and exploratory analysis of very large signals to locate the interesting bits, which can then be selected out of the original signal for more precise analysis. For x,y data sets, use this function on both independent variable x AND dependent variable y so that the features of y will appear at the same x values.

  • Platform: Matlab, Scripts
  • Publisher: Tom O'Haver
  • Date: 12-06-2013
  • Size: 10 KB

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data generation, and visualization facilities for the time series and the computed measures. The strength of the MATS toolkit is the simultaneous operation on both multiple time series and multiple measures, allowing a range of measure specific parameters to be set as well.

When drawing financial time series from various markets, one usually needs to make some adjustments before evaluating the series. One of the major concerns is that due to different national holidays or working days across countries, the dates happen to be not synchronized. Clearly this could make the evaluation process of the researcher biased. This package provides a solution for this concern. Missing values can be replaced by several interpolation methods including: Linear, Linear with extrapolation, Cubic, Cubic with extrapolation, Spline, Spline with extrapolation, Nearest, Nearest with extrapolation, Pchip, Pchip with extrapolation (See interp1 for a discussion of extrapolation).

  • Platform: Matlab, Scripts
  • Publisher: Semin Ibisevic
  • Date: 03-04-2013
  • Size: 10 KB

Semi variance method and scaled windowed variance method for fractal time series analysis. Referernce: Evaluating scaled windowed variance methods for estimating the Hurst coefficient of time series Physica A: Statistical and Theoretical Physics Volume 241, Issues 3-4, 15 July 1997, Pages 606-626.

  • Platform: Matlab, Scripts
  • Publisher: Guan Wenye
  • Date: 27-03-2013
  • Size: 102 KB
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