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REBOM is a new online graphical tool for the REcovery of BlOcks of Missing values with Trends Preservation for a given time series. REBOM takes as input a series of time series that contain blocks of missing values and finds the optimal approximation of the missing values that reconstructs the original trends. The recovery of missing values is based on a statistical method for dimensionality reduction that extracts the internal characteristics of the time series with missing values and approximate the missing trends. REBOM provides an intuitive graphical interface in order to compare between the block recovery of REBOM against other statistical methods.
The following 2d plots illustrate graphically the block recovery in a temperature time series measured in the region of Merano, Italy. The right hand side plot illustrates that the time series contains a missing block for t ∈ [275,415]. The left hand side plot illustrates the result of the recovery of the same missing block performed by REBOM.
The online prototype of REBOM offers many graphical features:
An executable "Desktop" version of the tool with native support for several operating systems has been implemented and can be downloaded from here.
The latest source code of REBOM can be downloaded from here( in order to obtain the username and the password to connect to the database, please drop an email to Mourad Khayati).
The following libraries should be imported to your java project as external JARs packages in order to compile and run the source code of REBOM:
Run as a desktop application:
Run as an applet:
This work is partially supported by a grand from a joint collaboration between university of Zürich (Switzerland), the Free University of Bolzano (Italy) and HydroloGIS s.r.l (Italy).