Software:JHepWork
JHepWork is a program for statistical data analysis, curve fitting, data-mining, machine learning, numeric computations and interactive scientific plotting in 2D and 3D. This project was created in 2005 at the DESY (Hamburg, Germany) Laboratory. It was initially written for data analysis for Physics:particle physics[1] using the Java software concept for International Linear Collider project developed at SLAC. Later versions of jHepWork were modified for general public use (for scientists, engineers, students for educational purpose) since the International Linear Collider project has stalled. In 2013, jHepWork was renamed to DataMelt and become a general-purpose community-supported project. The main source of the reference is the book "Scientific Data analysis using Jython Scripting and Java" [2] which discusses data-analysis methods using Java and Jython scripting. Later it was also discussed in the German Java SPEKTRUM journal. Some discussion of this program was given in [3] [4] [5] [6] [7]
Currently, JHepWork is no supported. DataMelt program (2016-) is a modern version of jHepWork (2005-2013). It is also backward compatible with JHepWork version 3.6.
References
- ↑ HEP data analysis using jHepWork and Java, arXiv:0809.0840v2, ANL-HEP-CP-08-53 preprint. CERN preprint, arXiv:0809.0840v2
- ↑ Scientific Data analysis using Jython Scripting and Java. Book. By S.V.Chekanov, Springer-Verlag, ISBN 978-1-84996-286-5, [1]
- ↑ Suitability analysis of data mining tools and methods. [2]. S.Kovac, Bachelor's thesis (in English), jHepWork is reviewed on page 39-42, Masaryk University.
- ↑ A Review: Comparative Study of Diverse Collection of Data Mining Tools. By S. Sarumathi, N. Shanthi, S. Vidhya, M. Sharmila. International Journal of Computer, Control, Quantum and Information Engineering. 2014; 8(6). 7.
- ↑ A Study of Tools, Techniques, and Trends for Big Data Analytics. By R.Shireesha et al. (2016) International Journal of Advance Computing Technique and Applications (IJACTA), ISSN : 2321-4546, Vol 4, Issue 1 [3]
- ↑ Comparison of Various Tools for Data Mining. By P.Kaur etc. IJERT ISSN: 2278-0181 Vol. 3 Issue 10 (2010) [[4]]
- ↑ Advanced Web and Network Technologies, and Applications. By Heng Tao Shen et al. Springer Science & Business Media - 2006-01-09
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