PPT-Onassis Lectures on Big Data and Applications

Author : pamella-moone | Published Date : 2018-02-04

Dear Onassis Lecture Participants July 19 2017 It was a great pleasure to speak at the lectures and to meet some of you I presented my view of the full scope of

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Onassis Lectures on Big Data and Applications: Transcript


Dear Onassis Lecture Participants July 19 2017 It was a great pleasure to speak at the lectures and to meet some of you I presented my view of the full scope of the emerging discipline of Data Science in an endtoend workflow involving three major steps that are executed on a Data Science Platform These slides . 7 8.1. Lectures. 8.2. Practicals. See appendix .2. Group ‘B’ Subjects 8.3 Agency visits As stated in practical paper.3. 8.4. Educational Tour Visits will be arrange S. A. L. S. A. Group. http://salsahpc.indiana.edu. Principal Investigator Geoffrey Fox. Project Lead Judy Qiu. Scott . Beason. , . Jaliya. . Ekanayake. , . Thilina. . Gunarathne. , . Jong. . Youl. Web Site Administration. Introduction to Web Applications. Instructor: Enoch E. Damson. Information System. A collection of components that work together to process . data. into accurate . information. applications . are routinely accessing and interacting with data on remote resources. As data sizes become increasingly large, often combined with their locations being far from the applications, the well known impact of lower TCP throughput over large delay-bandwidth product paths becomes more significant to these applications. While myriads of solutions exist to alleviate the problem, they require specialized software at both the application host and the remote data server, making it hard to scale up to a large range of applications and execution environments. A software defined networking based solution called Steroid . Mike Flasko. Program Manager. Microsoft Corporation. Agenda. Why data services?. Common challenges when creating rich web applications. Creating rich web applications with data services. Future scenarios & roadmap. PHMM Applications. 1. Mark Stamp. Applications. We consider 2 applications of PHMMs from information security. Masquerade detection. Malware detection. Both show some strengths of PHMMs. Both are somewhat unique . S Jha. 1. , J Qiu. 2. , A Luckow. 1. , P Mantha. 1. , Geoffrey Fox. 2. 1 . Rutgers http://radical.rutgers.edu. 2 . Indiana . . http. ://. www.infomall.org. http://. arxiv.org. /abs/1403.1528. Funding: Turku University Foundation. Theme: . “Interfacial Electrochemistry at Atomic, Molecular, . and Nanoscale Domains”. 228 . participants spanning 31 countries, . 142 oral and invited lectures, 79 posters, and five instrumentation . GIS;. THE FEDERATED MODEL. James E. Mitchell, Ph. D.. IT GIS Manager. Louisiana Department of Transportation and Development. presented at the ESRI International Users Conference 2010. ENTERPRISE GIS USER MODEL. Keynote. BigDat. 2015: International Winter School on Big Data. Tarragona, Spain, January 26-30, 2015. January 26 2015. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Module. Overview Lecture. 1. Lecture Content. Lecturers. Lectures Overview. Evaluation. Timeline. 2. Lecturer. 3. Martin . Antonov. Co-Founder and Game Designer at Fractal Games. Founder of . YoYoBulgaria. Do . Your . Students . Look Like This?. Does Your . Powerpoint. Look Like This?. Teaching Tips and Tricks. Karen Jansen. Make it Engaging. Harvard. BBC. King’s College. Logos and Pathos. “The . best presentations are good . A . Big. Data Platform for . Geoscience. Big. Data Platform = . Big. Data . Factory. A . complete. . process. . 1 Raw data acquisition. 2 Analytics processing. 3 Visualize & Integrate Data. ALL data sources. 1 REGULATIONS AND SYLLABI (Effective from 2019 - 2020 ) Centre for Bioinformatics SCHOOL OF LIFE SCIENCES PONDICHERRY UNIVERSITY PUDUCHERRY 2 Pondicherry University School of Life Sciences Centre for

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