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Lessons learned from a year's worth of benchmarks of large data clouds

Yunhong Gu, Robert L. Grossman
2009 Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers - MTAGS '09  
• The processing results from one node can be sent to multiple destination nodes. • UDF is a superset of MapReduce • Sphere provides a Map and Reduce UDFs  ... 
doi:10.1145/1646468.1646471 dblp:conf/sc/GuG09 fatcat:6pmddi3b55ctnptopieapdoexy

CEEM: A Practical Methodology for Cloud Services Evaluation

Zheng Li, Liam OBrien, He Zhang
2013 2013 IEEE Ninth World Congress on Services  
By borrowing the lessons from evaluation of traditional computing systems, referring to the guidelines for Design of Experiments (DOE), and summarizing the existing experiences of real experimental studies  ...  Nevertheless, there is still a lack of a sound methodology to guide the evaluation of Cloud services.  ...  Given the lack of a sound methodology for Cloud services evaluation, we investigated the generic steps of evaluation implementations mainly through three types of sources: lessons from evaluating traditional  ... 
doi:10.1109/services.2013.73 dblp:conf/services/LiOZ13 fatcat:yh7nfld3nfdrzjm6iyfntaeslq

Adversarial Vision Challenge [article]

Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge
2018 arXiv   pre-print
This document is an updated version of our competition proposal that was accepted in the competition track of 32nd Conference on Neural Information Processing Systems (NIPS 2018).  ...  The NIPS 2018 Adversarial Vision Challenge is a competition to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks.  ...  Resources Existing resources, including prizes Amazon AWS will sponsor the necessary cloud computing resources to evaluate submissions ($65,000 worth of cloud compute resources, see letter of support  ... 
arXiv:1808.01976v2 fatcat:xre4fpbhkzazbbhqo6bacg6z2a

Quantifying the effects of IT-governance rules

C. Verhoef
2007 Science of Computer Programming  
For each of the seven patterns we provided lessons learned and recommendations on how to recognize and remove unwanted effects.  ...  Via quantitative analyses of large IT-portfolio databases, we detected unique data patterns pointing to certain IT-governance rules and styles, plus their sometimes nonintuitive and negative side-effects  ...  In this way we can balance business-criticality, time-to-market, and economics of IT-projects. Lessons learned. From all this, some lessons can be learned.  ... 
doi:10.1016/j.scico.2007.01.010 fatcat:buyvwkul3zcavnfdej46j2zxiy

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 [article]

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu (+32 others)
2017 arXiv   pre-print
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.  ...  The benchmark consists of two tasks: part-level segmentation of 3D shapes and 3D reconstruction from single view images.  ...  This is a general method for learning representations from point cloud data, and we call it PointCNN. Problem Statement.  ... 
arXiv:1710.06104v2 fatcat:nczmtumuj5g27dag5vziyuf47a

A new data science research program: evaluation, metrology, standards, and community outreach

Bonnie J. Dorr, Craig S. Greenberg, Peter Fontana, Mark Przybocki, Marion Le Bras, Cathryn Ploehn, Oleg Aulov, Martial Michel, E. Jim Golden, Wo Chang
2016 International Journal of Data Science and Analytics  
This article also summarizes lessons learned from the data science evaluation series pre-pilot that was held in fall of 2015.  ...  2015[1] and also expands upon content from a poster paper at IEEE BigData 2015 [2]. encourage the application of tasks that span these tracks.  ...  Lessons learned from the data science evaluation series pre-pilot In fall 2015, NIST hosted a small-scale pre-pilot evaluation in the highway traffic domain.  ... 
doi:10.1007/s41060-016-0016-z dblp:journals/ijdsa/DorrGFPBPAMGC16 fatcat:ngrq7wupyfbs5ozna4sgthcjma

Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems

Simon Ruffieux, Elena Mugellini, Omar Abou Khaled
2019 2019 6th Swiss Conference on Data Science (SDS)  
the context of extracting relevant skillterms from job advertisements, we propose a syntax-based method for generating large amounts of machine-labeled text from a small amount of human-labeled data.  ...  AI exploration -from your desk to the data center to the cloud.  ... 
doi:10.1109/sds.2019.00011 dblp:conf/sds2/RuffieuxMK19 fatcat:z5bcj6f2pjczvbwp4zooavn6ve

The scholarly impact of TRECVid (2003-2009)

Clare V. Thornley, Andrea C. Johnson, Alan F. Smeaton, Hyowon Lee
2011 Journal of the American Society for Information Science and Technology  
The implications of the study in terms of the value of TRECVid as a research activity, and the value of bibliometric analysis as a research evaluation tool, are discussed.  ...  For a selection of participants at different career stages, the relative importance of TRECVid publications in terms of citations vis a vis their other publications is investigated.  ...  Thanks to Julia Barrett of UCD Library and Shane McLoughlin of the UCD School of Information and Library Studies for invaluable assistance to this project.  ... 
doi:10.1002/asi.21494 fatcat:l45ev45kffeqbjc7ka2rlhasdu

BRINGING BUSINESS INTELLIGENCE INTO FINANCE CURRICULUM

2010 Issues in Information Systems  
Companies are using Business Intelligence techniques to explore data to get a complete view of their operations which allows them to discover trends, improve their forecasting and operate more efficiently  ...  The quantity of information around us is rising wherever we look.  ...  Based upon the experience and lessons learned from teaching a finance course using the proposed BI module, we plan on developing a comprehensive set of similar modules for other courses whenever appropriate  ... 
doi:10.48009/2_iis_2010_168-175 fatcat:lyjprizljzagbp3kmbon5vwauq

Agentless cloud-wide monitoring of virtual disk state

Wolfgang Richter
2014 Proceedings of the 2014 workshop on PhD forum - PhD forum '14  
It introduces a monitoring platform based on the modern reality of software defined storage which enables the decoupling of policy from mechanism.  ...  hypervisors enabling efficient introspection, and file-level duplication of data within cloud instances.  ...  Thus, the lessons learned here are applicable to a class of backup systems which feature fast time to retrieval.  ... 
doi:10.1145/2611166.2611174 dblp:conf/mobisys/Richter14 fatcat:ukvtl4kiene4xgn226emv4ycze

Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge

Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
2017 PeerJ Computer Science  
This paper reviews lessons learned from both (i) the overall organization of the Semantic Publishing Challenge, regarding the definition of the tasks, building the input dataset and forming the evaluation  ...  We conclude that higher quality may be achieved when Linked Data is produced as a result of a challenge, because the competition becomes an incentive, while solutions become better with respect to Linked  ...  Data Cloud. 2016 edition tasks.  ... 
doi:10.7717/peerj-cs.105 fatcat:rwn5zxnrnjes3c7dyg5x24hps4

Enhancing Teacher Preparation and Improving Faculty Teaching Skills: Lessons Learned from Implementing "Science That Matters" a Standards Based Interdisciplinary Science Course Sequence

Robert Potter, Gerry Meisels
2005 Journal of Science Education and Technology  
To help faculty improve classroom out- comes and move away from lecture, we took the approach of writing lesson plans based largely on ac- tive learning and supplemented the lesson plans with professional  ...  Our experience fits with data from a recent report (ACT, 2004) sug- gesting a majority of students come to college with large deficits in science background knowledge de- spite having multiple science  ... 
doi:10.1007/s10956-005-4421-7 fatcat:uur5y6qkcnhurm6go2xbo36saq

Digital discovery: strategies and solutions

Reiner Kallenborn, Carolin Becker
2009 New Library World  
experiences of the Net generation, information literacy as well as data and knowledge management.  ...  Findings -The IATUL meeting presented a wide range of cutting-edge topics defining the future roles of librarians in a globalised information society.  ...  She commented that if you enter a search term into the search field or select a term from a preset tag cloud, a new tag cloud will be generated from the display of search results from the web site's index  ... 
doi:10.1108/03074800910954299 fatcat:zfm4raqwtvaaxgf2swsxfb24r4

Roles and Responsibilities [chapter]

2016 Making It in IT  
of other things, many of which have gone the way of last year's snow.  ...  If you see a photograph of an IBM installation from that era, you will see a large room with many different units on show.  ...  Personal cloud 4. Enterprise app stores 5. The Internet of Things 6. Hybrid IT and cloud computing 7. Strategic big data 8. Actionable analytics 9. In-memory computing 10.  ... 
doi:10.1201/9781315366784-14 fatcat:hiiq2jrcsjeh3o4ftsf3dfob44

How Important Are Same-Gender Role Models to Middle School Girls? Five Characteristics of Mentors Who Sustain Middle-School Girls' Interest in Science Careers

Donna Farland-Smith
2014 Journal of Education and Training  
The data was collected during 'Side-by-Side' interaction with content specialists and has implications for classroom practice.  ...  highly-skilled, highly-trained scientists reveal that unless the scientists understand the difference between content knowledge and pedagogical content knowledge, they are not open or sometimes unwilling to learning  ...  Journal of Education and Training ISSN 2330-9709 2015 www.macrothink.org/jet  ... 
doi:10.5296/jet.v2i1.5423 fatcat:3a2wpcx7hfas7fpclct42fiyhi
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