We make science discovery happen
LXIII Congresso della SAIt
Rome, Italy
Helsinki, Finland
Caltech, Pasadena CA, USA
Tracing Cosmic Evolution with Clusters of Galaxies IV
Sexten (BZ), Italy
Artificial Intelligence in Astronomy
ESO HQ Garching, Germany
Extremely Big Eyes on the Early Universe
Rome, Italy
Challenges and Innovations in Computational Astrophysics
Saint Petersburg, Russian Federation
SKA-VLBI Key Science Projects and Operations Workshop
Jodrell Bank, UK
Galaxy Evolution and Environment
Trieste, Italy
Useful list of International Astronomy Meetings
Agenda of International Data Science Meetings
Agenda of International Astronomy Meetings
Published the newsletter nr. 4 of March 2015
Read all past news and DAME NewsLetters
IEEE CIS DMTC Astrominer Task Force
Nowadays, many scientific areas share the same need of being able to deal with massive and distributed datasets and to perform complex knowledge extraction tasks. DAME (DAta Mining & Exploration) is a 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.
The goal of DAME is to offer and develop open and broadly available software tools and services for scientific purposes. Groups or individuals interested in collaborating or participating in scientific and/or technological projects/activities are welcomed and encouraged to contact us. Please, consult policy and citation document.
Official Partners are INAF-OACN, Dept. of Physics UNINA, CALTECH
DAME partners acknowledge the financial support of the Italian Ministry of Foreign Affairs for the Italy-USA bi-lateral grant Building an e-science Data Mining Infrastructure, the European Union through the projects VO-Tech and VO-AIDA, the Ministry of University and Research through the PON S.Co.P.E. GRID project, the INAF for the partial support through the PRIN 2010 Tomography of Galaxy Clusters and the PRIN 2014 Glittering Kaleidoscopes in the sky, the multifaceted nature and role of galaxy clusters, the European and Italian Space Agencies for the support in the participation to the ESA EUCLID space mission program and the European Commission for the support through the Program FP7-SPACE-2013-1 ViaLactea. We acknowledge the support of the EU COST Action TD1403 Big Data Era in Sky and Earth Observation. We also acknowledge a crucial support from the Fishbein Family Foundation, and a partial support from the NASA grant 08-AISR08-0085. We also organized the first IAU Division B Symposium on Astroinformatics in 2016.