DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration

TL;DR

DAME is a web-based, distributed data mining platform designed for large-scale scientific data exploration, initially tailored for astronomy but now applicable across various scientific domains.

Contribution

It introduces a versatile, VObs-compliant infrastructure for massive data mining that evolved from astronomy to broader scientific applications.

Findings

Successfully applied to astronomical data sets

Supports complex machine learning knowledge extraction

Offers a user-friendly web interface

Abstract

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, VObs compliant, 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 which has found applications also in other domains of human endeavor. We present the products and a short outline of a science case, together with a detailed description of main features available in the beta release of the web application now released.