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MASSIVE
Results: 3979

#	Item
81	Overview: Japanese Archaeological Research TrendsTanaka Yoshiyuki2 The tremendous three-fold damage from the massive earthquake, gigantic tidal wave, plus radioactive contamination brought by the Great East Japan Add to Reading List Source URL: archaeology.jp - Date: 2014-07-27 20:16:00
82	SERVICEMAX SUITE \| DATASHEET ServiceMax Suite Imagine Flawless Field Service OVERVIEW Field service is a massive and growing industry, powered by companies that make machines and equipment we use every Add to Reading List Source URL: lp.servicemax.com - Date: 2016-12-12 11:41:43
83	COVER A Classopollis meyeriana conifer pollen grain (~30 micrometers across) preserved in lake sediments deposited just after a massive, volcano-induced extinction event ~200 million years ago. This fossilized pollen gr Add to Reading List Source URL: ucscgeochronology.sites.ucsc.edu - Date: 2015-10-14 14:51:08
84	With the advent of massive data sets, statistical learning and information processing techniques are expected to enable unprecedented possibilities for better decision making. However, existing algorithms for mathematica Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
85	JOI/USSAC Distinguished Lecturer Series 1992 SEAFLOOR HYDROTHERMAL SYSTEMS ON THE GORDA AND JUAN DE FUCA RIDGES: IMPLICATIONS FOR THE FORMATION OF MASSIVE SULFIDE DEPOSITS Add to Reading List Source URL: www.odplegacy.org - Date: 2014-09-04 08:45:01
86	Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for predi Add to Reading List Source URL: carbon.nasa.gov - Date: 2016-05-31 21:49:40
87	PRESS RELEASE _____________ Turbo for IT Services: massive increase of performance thanks to ISOwithin thre Add to Reading List Source URL: sk.cis-cert.com - Date: 2010-05-19 06:52:22
88	An effective technique for solving optimization problems over massive data sets is to partition the data into smaller pieces, solve the problem on each piece and compute a representative solution from it, and finally obt Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
89	California’s Other “Big One” Understanding the Impacts of Massive Winter Storms Most people know that California is at risk from large earthquakes, like the magnitude 7.8 temblor in the ShakeOut scenario (USGS OFR- Add to Reading List Source URL: cnap.ucsd.edu - Date: 2011-07-20 18:17:56
90	Bruce Cerretani, Federal “Big Data” Lead Solutions Architect Enabling organizations to gain valuable insight from massive volumes data has been Bruce’s mission for over 30 years. After retiring from the US Air Forc Add to Reading List Source URL: cdn.govexec.com - Date: 2016-02-17 11:38:18

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