mass estimation to run in windows online over linux online

We have hosted the application mass estimation to run in windows online over linux online in order to run this application in our online workstations with Wine or directly.

Quick description about mass estimation to run in windows online over linux online:

This site contains four packages of Mass and mass-based density estimation.

1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB.

2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system.

3. The third package DEMassBayes includes the source and object files of a Bayesian classifier using DEMass. DEMassBayes.7z has jar file to be used with WEKA and a readme file listing parameters used. The source files are included in DEMassBayes_Source.7z.

4. The four package is MassTER includes source and JAR file to be used with WEKA system.

Features:

• 1. Mass Estimation (one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation)
• Requirements: MATLAB (>=7.4 R2007a), libsvm package
• Maintainer: Guang-Tong Zhou <[email protected]>
• References: K.M. Ting, G.-T. Zhou, F.T. Liu and S.C. Tan, Mass Estimation and Its Applications, In: Proceedings of the 16th ACM SIGKDD Conference on knowledge Discovery and Data Mining (SIGKDD'10), Washington, DC, 2010.
• This package was developed by Mr. Guang-Tong Zhou ([email protected]). For any problem concerning the code, please feel free to contact Mr. Zhou.
• 2 & 3. DEMass (DEMass-DBSCAN) and DEMass-Bayes
• References: K. M. Ting and T. Washio and J. R. Wells and F. T. Liu. Density Estimation based on Mass, Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 11), 2011
• This package requires WEKA 3.7 or higher. This package is free for academic usage. You can run it at your own risk.
• 4. MassTER
• References: Ting, K. M. & Wells, J. R. Multi-Dimensional Mass Estimation and Mass-based Clustering Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 10), IEEE Computer Society Press, 2010, 511-520

Audience: Science/Research.
User interface: Console/Terminal.
Programming Language: MATLAB, Java.

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