000281239 001__ 281239
000281239 005__ 20210129221652.0
000281239 037__ $$aFZJ-2016-00938
000281239 041__ $$aEnglish
000281239 1001_ $$0P:(DE-Juel1)162390$$aGötz, Markus$$b0$$eCorresponding author
000281239 1112_ $$aEuropean Geosciences Union General Assembly 2015$$cVienna$$d2015-04-12 - 2015-04-17$$wAustria
000281239 245__ $$aPractice & Experience with Scalable Clustering Algorithms for Statistical Earth Science Data Mining
000281239 260__ $$c2015
000281239 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1453478431_7970$$xOther
000281239 3367_ $$033$$2EndNote$$aConference Paper
000281239 3367_ $$2DataCite$$aOther
000281239 3367_ $$2ORCID$$aLECTURE_SPEECH
000281239 3367_ $$2DRIVER$$aconferenceObject
000281239 3367_ $$2BibTeX$$aINPROCEEDINGS
000281239 520__ $$aBig Data has plausibly reached the peak of its technology “hype” cycle, at least in geosciences. For a new technology to evolve, mature, and realize its maximum potential, it must successfully survive the transition through the ensuing "trough of disillusionment". Currently, the term “Big Data” seems to be subject to individuals’ interpretations, especially in a community such as ours, i.e. Earth Science, which has had a long, if not the longest, history in trying to use, and make sense out of, large volumes of data. Therefore, we seek abstracts in this session that can help the community 1) to better define the Big Data challenges in Earth Science, 2) to report and describe on-going or up-coming “Big Data” practices, or 3) to identify the opportunities for addressing the challenges and reaping benefits, with an aim to focus our collective efforts on the challenges and nurture the maturation of Big Data in Earth Science.
000281239 536__ $$0G:(DE-HGF)POF3-512$$a512 - Data-Intensive Science and Federated Computing (POF3-512)$$cPOF3-512$$fPOF III$$x0
000281239 909CO $$ooai:juser.fz-juelich.de:281239$$pVDB
000281239 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)162390$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000281239 9131_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vData-Intensive Science and Federated Computing$$x0
000281239 9141_ $$y2015
000281239 915__ $$0StatID:(DE-HGF)0550$$2StatID$$aNo Authors Fulltext
000281239 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000281239 980__ $$aconf
000281239 980__ $$aVDB
000281239 980__ $$aUNRESTRICTED
000281239 980__ $$aI:(DE-Juel1)JSC-20090406