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相关论文: Petabyte Scale Data Mining: Dream or Reality?

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Large digital sky surveys, over a broad range of wavelengths, both from the ground and from space observatories, are becoming a major source of astronomical data. Some examples include the Sloan Digital Sky Survey (SDSS) and the Digital…

天体物理学 · 物理学 2015-06-24 S. George Djorgovski , Robert J. Brunner

Upcoming and future astronomy research facilities will systematically generate terabyte-sized data sets moving astronomy into the Petascale data era. While such facilities will provide astronomers with unprecedented levels of accuracy and…

天体物理仪器与方法 · 物理学 2011-11-30 A. H. Hassan , C. J. Fluke , D. G. Barnes

Astronomy is entering a new era of discovery, coincident with the establishment of new facilities for observation and simulation that will routinely generate petabytes of data. While an increasing reliance on automated data analysis is…

天体物理仪器与方法 · 物理学 2015-05-27 Amr Hassan , Christopher J. Fluke

Astronomy is entering a new era as multiple, large area, digital sky surveys are in production. The resulting datasets are truly remarkable in their own right; however, a revolutionary step arises in the aggregation of complimentary…

天体物理学 · 物理学 2007-05-23 R. J Brunner , T. Prince , J. Good , T. Handley , C. Lonsdale , S. G. Djorgovski

Fundamental changes are taking place in the way we do astronomy. In twenty years time, it is likely that most astronomers will never go near a cutting-edge telescope, which will be much more efficiently operated in service mode. They will…

天体物理仪器与方法 · 物理学 2010-10-01 Ray P. Norris

In the last decade a new generation of telescopes and sensors has allowed the production of a very large amount of data and astronomy has become, a data-rich science; this transition is often labeled as: "data revolution" and "data…

天体物理仪器与方法 · 物理学 2013-04-25 Stefano Cavuoti

An earlier paper (Szalay et. al. "Designing and Mining MultiTerabyte Astronomy Archives: The Sloan Digital Sky Survey," ACM SIGMOD 2000) described the Sloan Digital Sky Survey's (SDSS) data management needs by defining twenty database…

Modern scientific data mainly consist of huge datasets gathered by a very large number of techniques and stored in very diversified and often incompatible data repositories. More in general, in the e-science environment, it is considered as…

天体物理仪器与方法 · 物理学 2010-10-20 M. Brescia , G. Longo , F. Pasian

We describe the application of data mining algorithms to research problems in astronomy. We posit that data mining has always been fundamental to astronomical research, since data mining is the basis of evidence-based discovery, including…

天体物理仪器与方法 · 物理学 2009-11-04 Kirk Borne

Modern data science research can involve massive computational experimentation; an ambitious PhD in computational fields may do experiments consuming several million CPU hours. Traditional computing practices, in which researchers use…

分布式、并行与集群计算 · 计算机科学 2019-01-28 Hatef Monajemi , Riccardo Murri , Eric Jonas , Percy Liang , Victoria Stodden , David L. Donoho

The Sloan Digital Sky Survey is an ambitious, multi-institutional project to create a huge digital imaging and spectroscopic data bank of 25% of the celestial sphere, approximately 10,000 deg^2 centred on the north galactic polar cap. The…

天体物理学 · 物理学 2009-10-30 Bruce Margon

The digital revolution is transforming astronomy from a data-starved to a data-submerged science. Instruments such as the Atacama Large Millimeter Array (ALMA), the Large Synoptic Survey Telescope (LSST), and the Square Kilometer Array…

天体物理仪器与方法 · 物理学 2012-09-25 Melvyn Wright

Large datasets are most economically trnsmitted via parcel post given the current economics of wide-area networking. This article describes how the Sloan Digital Sky Survey ships terabyte scale datasets both within the US and to Europe and…

网络与互联网体系结构 · 计算机科学 2007-05-23 Jim Gray , Wyman Chong , Tom Barclay , Alex Szalay , Jan vandenBerg

Astrophysics has become a domain extremely rich of scientific data. Data mining tools are needed for information extraction from such large datasets. This asks for an approach to data management emphasizing the efficiency and simplicity of…

数据库 · 计算机科学 2009-11-10 M. Frailis , A. De Angelis , V. Roberto

Advanced instruments in a variety of scientific domains are collecting massive amounts of data that must be post-processed and organized to support scientific research activities. Astronomers have been pioneers in the use of databases to…

天体物理学 · 物理学 2007-05-23 Y. Dora Cai , Ruth Aydt , Robert J. Brunner

From the moment astronomical observations are made the resulting data products begin to grow stale. Even if perfect binary copies are preserved through repeated timely migration to more robust storage media, data standards evolve and new…

天体物理仪器与方法 · 物理学 2014-10-15 Rob Seaman

Astronomy has been at the forefront of the development of the techniques and methodologies of data intensive science for over a decade with large sky surveys and distributed efforts such as the Virtual Observatory. However, it faces a new…

天体物理仪器与方法 · 物理学 2012-08-14 Matthew J. Graham , S. G. Djorgovski , Ashish Mahabal , Ciro Donalek , Andrew Drake , Giuseppe Longo

In 2020, ~60PB of archived data will be accessible to the astronomers. But to analyze such a paramount data will be a challenging task. This is basically due to the computational model used to download the data from complex geographically…

天体物理仪器与方法 · 物理学 2018-11-16 Aruna Govada , Sanjay K. Sahay

As we are fast approaching the beginning of a paradigm shift in the field of science, Data driven science (the so called fourth science paradigm) is going to be the driving force in research and innovation. From medicine to biodiversity and…

分布式、并行与集群计算 · 计算机科学 2021-09-07 Hrishav Bakul Barua

Astronomy, as many other scientific disciplines, is facing a true data deluge which is bound to change both the praxis and the methodology of every day research work. The emerging field of astroinformatics, while on the one end appears…

天体物理仪器与方法 · 物理学 2015-06-03 Massimo Brescia , Giuseppe Longo