Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

September 26, 2011

DAta Mining & Exploration (DAME)

Filed under: Astroinformatics,Data Mining,Machine Learning — Patrick Durusau @ 7:00 pm

DAta Mining & Exploration (DAME)

From the website:

What is DAME

Nowadays, many scientific areas share the same need of being able to deal with massive and distributed datasets and to perform on them complex knowledge extraction tasks. This simple consideration is behind the international efforts to build virtual organizations such as, for instance, the Virtual Observatory (VObs). DAME (DAta Mining & Exploration) is an innovative, general purpose, Web-based, distributed data mining infrastructure specialized in Massive Data Sets exploration with machine learning methods.

Initially fine tuned to deal with astronomical data only, DAME has evolved in a general purpose platform program, hosting a cloud of applications and services useful also in other domains of human endeavor.

DAME is an evolving platform and new services as well as additional features are continuously added. The modular architecture of DAME can also be exploited to build applications, finely tuned to specific needs.

Follow DAME on YouTube

The project represents what is commonly considered an important element of e-science: a stronger multi-disciplinary approach based on the mutual interaction and interoperability between different scientific and technological fields (nowadays defined as X-Informatics, such as Astro-Informatics). Such an approach may have significant implications in the Knowledge Discovery in Databases process, where even near-term developments in the computing infrastructure which links data, knowledge and scientists will lead to a transformation of the scientific communication paradigm and will improve the discovery scenario in all sciences.

So far there is only one video at YouTube and it could lose the background music with no ill-effect.

The lessons learned (or applied) here should be applicable to other situations with very large data sets, say from satellites revolving the Earth?

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