Big Data—Technologies and Potential
暂无分享,去创建一个
[1] Michael Stonebraker,et al. The Case for Shared Nothing , 1985, HPTS.
[2] L. Nelson. Data, data everywhere. , 1997, Critical care medicine.
[3] Jennifer Widom,et al. Continuous queries over data streams , 2001, SGMD.
[4] Jonathan Rodden,et al. Strength in Numbers? , 2002 .
[5] The numbers of our lives. , 2003, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
[6] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[7] Michael Stonebraker,et al. The 8 requirements of real-time stream processing , 2005, SGMD.
[8] T. Davenport. Competing on analytics. , 2006, Harvard business review.
[9] Deciding factor. , 2006, Managed care.
[10] Jim Gray,et al. 2020 Computing: Science in an exponential world , 2006, Nature.
[11] Jeanne G. Harris,et al. Competing on Analytics: The New Science of Winning , 2007 .
[12] David Luckham,et al. The power of events - an introduction to complex event processing in distributed enterprise systems , 2002, RuleML.
[13] Michael Stonebraker,et al. A comparison of approaches to large-scale data analysis , 2009, SIGMOD Conference.
[14] Adam Jacobs,et al. The pathologies of big data , 2009, Commun. ACM.
[15] Alain Biem,et al. Real-Time Traffic Information Management using Stream Computing , 2010, IEEE Data Eng. Bull..
[16] Jennifer Chu-Carroll,et al. Building Watson: An Overview of the DeepQA Project , 2010, AI Mag..
[17] Hairong Kuang,et al. The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).
[18] Michael Stonebraker,et al. MapReduce and parallel DBMSs: friends or foes? , 2010, CACM.
[19] Lorin M. Hitt,et al. Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? , 2011, ICIS 2011.
[20] Paul Zikopoulos,et al. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data , 2011 .
[21] D. Luckham. Event Processing for Business: Organizing the Real-Time Enterprise , 2011 .
[22] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[23] Shirish Tatikonda,et al. SystemML: Declarative machine learning on MapReduce , 2011, 2011 IEEE 27th International Conference on Data Engineering.
[24] Doug Patterson,et al. Ethics of big data , 2012 .
[25] Dominic Barton,et al. Making advanced analytics work for you. , 2012, Harvard business review.
[26] Thomas J. Steenburgh,et al. Motivating Salespeople: What Really Works , 2012, Harvard business review.
[27] D. Kiron,et al. Sustainability nears a tipping point , 2012 .
[28] Martin Fowler,et al. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence , 2012 .
[29] Omer Tene,et al. Big Data for All: Privacy and User Control in the Age of Analytics , 2012 .
[30] Omer Tene Jules Polonetsky,et al. Privacy in the Age of Big Data: A Time for Big Decisions , 2012 .
[31] Christopher Kuner,et al. The Challenge of "Big Data" for Data Protection , 2012 .
[32] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[33] John Gantz,et al. The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East , 2012 .
[34] Viktor Mayer-Schnberger,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .
[35] Michelle Cheatham,et al. Privacy in the age of big data , 2015, 2015 International Conference on Collaboration Technologies and Systems (CTS).