References

Anderson, J., and L. Rainie. 2012. “Main Findings: Influence of Big Data in 2020.” Pew Research Center. http://www.pewinternet.org/2012/07/20/main-findings-influence-of-big-data-in-2020/

Barlow, M. 2013. Real-Time Big Data Analytics: Emerging Architecture. Sebastopol, CA: O’Reilly Media.

Barth, P., and R. Bean. 2012. “Who’s Really Using Big Data?” Harvard Business Review Blog Network, September 12.

Borne, K. 2013. “Statistical Truiisms in the Age of Big Data.” Retrieved December 2013 from http://www.statisticsviews.com/details/feature/4911381/Statistical-Truisms-in-the-Age-of-Big-Data.html

Boyd, D.F. 1950. “Applying the Group Chart for X and R.” Industrial Quality Control 7, no. 3, pp. 22–25.

Brodkin, J. 2012. “Bandwidth Explosion: As Internet Use Soars, Can Bottlenecks Be Averted?” Ars Technica. http://arstechnica.com/business/2012/05/bandwidth-explosion-as-internet-use-soars-can-bottlenecks-be-averted/

Brynjolfsson, E. December 3, 2010. International Institute for Analytics.

Buneman, P., and S.B. Davidson. 2010. Data Provenance—The Foundation of Quality Data. Pittsburgh, PA: Software Engineering Institute, Carnegie-Mellon University.

Chakrabarti, D., and C. Faloutsos. 2012. Graph Mining: Laws, Tools and Case Studies. San Rafael, CA: Morgan and Claypool Publishers.

Choucri, N., C. Electris, D. Goldsmith, D. Mistree, S.E. Madnick, J.B. Morrison, M.D. Siegel, M. Sweitzer-Hamilton. January 2006. “Understanding and Modeling State Stability: Exploiting System Dynamics.” MIT Sloan Research Papers, no. 4574–06.

Cioffi-Revilla, C. 1998. Politics and Uncertainty: Theory, Models and Applications. Cambridge and New York: Cambridge University Press.

Cisco, Inc. 2015a. “Cisco Visual Networking Index: Forecast and Methodology 2014–2019 White Paper.” http://www.cisco.com/c/en/us/solutions/collateral/service-provider/ip-ngn-ip-next-generation-network/white_paper_c11-481360.html

Cisco. Inc. 2015b. “The Zettabyte Era: Trends and Analysis.” http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/VNI_Hyperconnectivity_WP.html

Clifford, S. 2012. “Shopper Alert: Price May Drop for You Alone.” The New York Times. http://www.nytimes.com/2012/08/10/business/supermarkets-try-customizing-prices-for-shoppers.html

Collier, P., and A. Hoeffler. 2000. “Greed and Grievance in Civil War.” Policy Research Working Paper No. 2355. Washington, DC: World Bank.

Collier, P., A. Hoeffler, and M. Soderbom. 2001. “On the Duration of Civil War, Volume 1.” Policy Research Working Paper No. 2681. Washington, DC: World Bank.

Cook, D., and L. Holder, eds. 2006. Mining Graph Data. New York: John Wiley.

Council on Library and Information Resources (CLIR). 2012. “Data Curation”. Retrieved November 17, 2013 from http://www.clir.org/initiatives-partnerships/data-curation

Cruz, J.A., and D.S. Wishart. 2006. “Applications of Machine Learning in Cancer Prediction and Prognosis.” Cancer Informatics 2, 59–77. http://www.ncbi.nlm.nih.gov/pubmed/19458758

Davenport, T.H. January 2006. “Competing on Analytics.” Harvard Business Review 84, no. 1, pp. 98–107.

Davenport, T.H. 2007. Competing on Analytics. Cambridge, MA: Harvard Business School Publishing Corporation.

Deng, H., G.C. Runger, and E. Tuv. 2012. “Systems Monitoring with Real Time Contrasts.” Journal of Quality Technology 44, no. 1, pp. 9–27.

Desisto, R.P., D.C. Plummer, and D.M. Smith. 2008. Tutorial for Understanding the Relationship Between Cloud Computing and SaaS. Gartner, G00156152.

Eaton, C., D. Deroos, T. Deutsch, G. Lapis, and P. Zikopoulos. 2012. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. New York, NY: McGraw Hill.

EMC. Inc. 2014. “Managing Storage: Trends, Challenges, and Options (2013–2014).” https://education.emc.com/content/_common/docs/articles/Managing_Storage_Trends_Challenges_and_Options_2013_2014.pdf

Feinleb, D. 2012. “Big Data Trends.” Retrieved November 10, 2013 from http://thebigdatagroup.com/

Ferraty, F. and Y. Romain. 2011. The Oxford Handbook of Functional Data Analysis. Oxford Handbooks. Oxford, New York: Oxford University Press.

Ford, N. 2006. “Polyglot Programming.” http://memeagora.blogspot.com/2006/12/polyglot-programming.html

Fowler, M. 2011. “Polyglot Persistence.” http://martinfowler.com/bliki/PolyglotPersistence.html

Gantz, J., and E. Reinsel. 2011. “Extracting Value from Chaos.” IDC’s Digital Universe Study, sponsored by EMC. http://www.emc.com/collateral/analyst-reports/idc-extracting-value-from-chaos-ar.pdf

George, L. 2011. HBase: The Definitive Guide. 1st ed. Sebastopol, CA: O’Reilly Media.

Hardin, G. 1968. “The Tragedy of the Commons.” Science 162, no. 3859, pp. 1243–48.

Harris, H.D., S.P. Murphy, and M. Vaisman. 2013. Analyzing the Analyzers. Sebastopol, CA: O’Reilly Media.

Harrison, G. 2010. “10 Things You Should Know About NoSQL Databases.” Tech Republic. http://b2b.cbsimg.net/downloads/Gilbert/dl_10_things_nosql.pdf

Hewitt, E. 2010. Cassandra: The Definitive Guide. 1st ed. Sebastopol, CA: O’Reilly Media.

Hilbert, M., and P. Lopez. 2011. “The World’s Technological Capacity to Store, Communicate, and Compute Information.” Science 332, no. 6025, pp. 60–65.

Hilbert, M., and P. Lopez. 2012. “How to Measure the World’s Technological Capacity to Communicate, Store and Compute Information, Part I: Results and Scope.” International Journal of Communication 6, pp. 956–79.

Hill, K. 2012. “How Target Figured Out a Teen Girl Was Pregnant Before Her Father Did.” Forbes. http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/

Hwang, W., G. Runger, and E. Tuv. 2007. “Multivariate Statistical Process Control with Artificial Contrasts.” IIE Transactions 39, no. 6, pp. 659–69.

IDC (International Data Corporation). December, 2012. “Big Data in 2020.” http://www.emc.com/leadership/digital-universe/2012iview/big-data-2020.htm

Jacobs, A. 2009 “Pathologies of Big Data.” Communications of the ACM 52, no. 8, pp. 36–44.

JASON. 2008. Data Analysis Challenges. The Mitre Corporation, McLean, VA, JSR-08-142.

Jirasettapong, P., and N. Rojanarowan. 2011. “A Guideline to Select Control Charts for Multiple Stream Processes Control.” Engineering Journal 15, no. 3, pp. 1–14.

Johnston, L. 2013. “Defining the ‘Big’ in Big Data.” Retrieved from November 5, 2013 http://blogs.loc.gov/digitalpreservation/2012/05/defining-the-big-in-big-data/

Kaisler, S. March 2005. Software Paradigms. New York: John Wiley & Sons.

Kaisler, S., and C. Cioffi-Revilla. 2007. “Quantitative and Computational Social Science.” Tutorial Presented at 45th Hawaii International Conference on System Sciences. Wailea, HI.

Kaisler, S., and W. Money. 2010. Dynamic Service Migration in a Cloud Architecture. England: ARCS 2010 Workshop, Said Business School, University of Oxford.

Kaisler, S., and W. Money. January 8, 2011. “Service Migration in a Cloud Computing Architecture.” 44th Hawaii International Conference on System Sciences. Poipu, Kauai, HI.

Kaisler, S. 2012. “Advanced Analytics”, CATALYST Technical Report, AFRL technical Report (based on work by S. Kaisler and C. Cioffi-Revilla (George Mason University), Quantitative and Computational Social Sciences Tutorial, 40th Hawaii International Conference on System Sciences. Waikoloa, HI, 2007.

Kaisler, S., W. Money, and S.J. Cohen. January 4–7, 2012. “A Decision Framework for Cloud Computing.” 45th Hawaii International Conference on System Sciences. Grand Wailea, Maui, HI.

Kaisler, S., F. Armour, A. Espinosa, and W. Money. 2013. “Big Data: Issues and Challenges Moving Forward.” 46th Hawaii International Conference on System Sciences. Maui, HI: IEEE Computer Society.

Kaisler, S., F. Armour, A. Espinosa, and W. Money. 2014. “Advanced Analytics: Issues and Challenges in the Global Environment.” 47th Hawaii International Conference on System Sciences. Hilton Waikoloa, Big Island, HI: IEEE Computer Society.

Kaisler, S., F. Armour, A. Espinosa, and W. Money. 2015. “Introduction to Big Data.” Tutorials presented at 48th Hawaii International Conference on System Sciences. Poipu, Kauai, HI: IEEE Computer Society.

Laney, D. 2001. “3D Data Management: Controlling Data Volume, Velocity and Variety.” Retrieved October 30, 2103 from http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf

Linthicum, D. 2009. “Defining the Cloud Computing Framework: Refining the Concept.” Cloud Computing Journal. http://cloudcomputing.sys-con.com/node/811519

Maglio, P.P., and J. Spohrer. 2008. “Fundamentals of Service Science.” Journal of the Academy of Marketing Science 36, no. 1.

Manyika, J., M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. Hung Byers. May 2011. “Big data: The Next Frontier for Innovation, Competition, and Productivity.” McKinsey Global Institute. http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation

Marr, B. 2015. “Walmart: The Big Data Skills Crisis and Recruiting Analytics Talent.” Forbes Magazine. http://www.forbes.com/sites/bernardmarr/2015/07/06/walmart-the-big-data-skills-crisis-and-recruiting-analytics-talent/2/

McAfee, A., and E. Brynjolfsson. 2012. “Big Data: The Management Revolution.” Harvard Business Review, Cambridge, MA.

McCulloh, I., M. Webb, J. Graham, K. Carley, and D.B. Horn. 2008. Technical Report 1235 Change Detection in Social Networks. United States Army Research Institute for the Behavioral and Social Sciences. Arlington, VA.

Megahed, F.M., W.H. Woodall, and J.A. Camelio. 2011. “A Review and Perspective on Control Charting with Image Data.” Journal of Quality Technology 43, no. 2, pp. 83–98.

Mello, P., and T. Grance. 2011. The NIST Definition of Cloud Computing (Draft), SP800-145. Gaithersburg, MD: National Institute of Standards and Technology.

Monga, V. 2014. The Big Mystery: What’s Big Data Really Worth? The Wall Street Journal, October 12. http://www.wsj.com/articles/whats-all-that-data-worth-1413157156

National Academy of Science. 2013. Frontiers in Massive Data Analysis. WA: National Academies Press. Retrieved November 1, 2013 from http://www.nap.edu

Nestler S., J. Levis, B. Klimack, and M. Rappa. 2012. “The Shape of Analytics Certification.” INFORMS OR/MS Today 39, no. 1. https://www.informs.org/ORMS-Today/Public-Articles/February-Volume-39-Number-1/The-shape-of-analytics-certification

Nisbett, R. 2003. Geography of Thought: How Asians and Westerners Think Differently … and Why. New York, NY: Simon and Schuster.

Oresky, C., A. Clarkson, D.B. Lenat, and S. Kaisler. 1990. “Strategic Automated Discovery System (STRADS).” In Knowledge Based Simulation: Methodology and Application, eds. P. Fishwick and D. Modjeski, 223–60. New York: Springer-Verlag.

Pearson, T., and R. Wegener. 2013. Big Data: The Organizational Challenge. Bain & Company, San Francisco.

Peters, B. 2014. “Big Data’s Fading Bloom.” http://www.forbes.com/sites/bradpeters/2014/02/28/big-datas-fading-bloom/

Pricewaterhouse Coopers, Inc. 2009. “12th Annual Global CEO Survey, Redefining Success.” http://www.pwc.ch/user_content/editor/files/publ_corp/pwc_12th_annual_global_ceo_survey_e.pdf

PRNewswire: Dublin. 2014. “The Future of Big Data Analytics—Global Market and Technologies Forecast—2015–2020.” Research and Markets. http://www.prnewswire.com/news-releases/the-future-of-big-data-analytics---global-market-and-technologies-forecast---2015-2020-275637471.html

Provost, F., and T. Fawcett. 2103. “Data Science and Its Relationship to Big Data and Data-Driven Decision Making.” Big Data 1, no. 1, pp. 51–59.

Rabiner, L.R. 1989. “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition.” Proceedings of the IEEE 77, no. 2, pp. 257–86.

Renfro, R.S. II, and R.F. Deckro. 2003. “A Flow Model Social Network Analysis of the Iranian Government.” Military Operations Research 8, no. 1, pp. 5–16.

Ross, J.W., P. Weill, and D.C. Robertson. 2006. Enterprise Architecture as Strategy: Creating a Foundation for Business Execution. Cambridge, MA: Harvard Business School Press.

Satyanarayanan, M., P. Simoens, Y. Xiao, P. Pillai, Z. Chen, K. Ha, W. Hu, and B. Amos. April–June 2015. “Edge Analytics in the Internet of Things.” IEEE Pervasive Computing 14, no. 2, pp. 24–31.

Shaw, M. 2014. “Big data 2020: What the Future of Analytics Means for the Enterprise.” http://www.slideshare.net/hpsoftwaresolutions/big-data-2020whatthefutureofanalyticsmeansfortheenterprise

Spam Laws. 2014. “Spam Statistics and Facts.” http://www.spamlaws.com/spam-stats.html

Taft, D.K. 2014. “Hadoop 2020: The Future of Big Data in the Enterprise.” eWeek, December 2. http://www.eweek.com/database/slideshows/hadoop-2020-the-future-of-big-data-in-the-enterprise.html

Talburt, J. 2009–2011. “Reference Linking Methods.” Identity Resolution Daily. Retrieved November 3, 2013 from http://identityresolutiondaily.com/ (Site no longer exists)

Thomas, J.J., and K.A. Cook, eds. 2005. Illuminating the Path—the Research and Development Agenda for Visual Analytics. IEEE Computer Society Visual Graphics Technical Committee.

Tiwari, G., and R. Tiwari. 2010. “Bioanalytical Method Validation: An Updated Review.” Pharmaceutical Methods 1, no. 1, pp. 25–38. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658022/

Turner, D., M. Schroeck, and R. Shockley. 2012. Analytics: The Real World Use of Big Data. A Collaborative Research Study by the IBM Institute for Business Value and the Said Business School at the University of Oxford.

Varian, H. January 2009. “Hal Varian on How the Web Challenges Managers.” Mckinsey Quarterly. http://www.mckinseyquarterly.com/Hal_Varian_on_how_the_Web_challenges_managers_2286

Wegener, R., and V. Sinha. 2013. “The Value of Big Data: How Analytics Differentiates Winners.” Bain & Company. http://www.bain.com/publications/articles/the-value-of-big-data.aspx

Weick, K.E. 1995. Sensemaking in Organizations. Thousand Oaks, CA: Sage Publications.

Wikipedia. 2013. “Big Data.” Retrieved October 24, 2013 from http://en.wikipedia.org/wiki/Big_data/

Wixom, B., and H. Watson. 2010. “The BI-based Organization.” International Journal of Business Intelligence Research 1, no. 1, pp. 13–28.

Wong, P.C., and J. Thomas. 2004. “Visual Analytics.” IEEE Computer Graphics and Applications 24, no. 5, pp. 20–21.

Zhang, H., S.L. Albin, S. Wagner, D.A. Nolet, and S. Gupta. 2010. “Determining Statistical Process Control Baseline Periods in Long Historical Data Streams.” Journal of Quality Technology 42, no. 1, pp. 21–35.

Zhang, Y. 2008. Constraint Solver Techniques for Implementing Precise and Scalable Static Program Analysis. Technical University of Denmark, IMM-PHD-2008-211.

..................Content has been hidden....................

You can't read the all page of ebook, please click here login for view all page.
Reset