PPT-Spatiotemporal Stream Mining using

TRACDS Middle East Technical University October 31 2012 Margaret H Dunham Michael Hahsler Yu Su Sudheer Chelluboina and Hadil Shaiba Computer Science and Engineering . Matvey . Arye. , Princeton/Cloudflare. Albert . Strasheim. , . Cloudflare. Awesome CDN service for websites big & small. Millions of request a second peak. 24 data centers across the globe. Data Analysis. Anthony T. Iannacchione, . engineer. (mining). Stephen J. Tonsor, . biologist. (ecology). Associate Professors, University of Pittsburgh.  . The Question “Can We Conduct Underground Coal Mining and Protect PA Streams?”. . Interaction. . with. . Spatiotemporal. . Linked. Open Data. PiLOD. Amsterdam, The Netherlands.. jim.jones@uni-muenster.de. Gestural Interaction with Spatiotemporal Linked Open Data. 2. Our goal: . Sam Chikowore. – Exporien Mining. Zimbabwe Mining and Infrastructure Indaba . 2013.. WHO ARE THEY?. THE ARTISANAL MINERS. THE MINING CO-OPERATIVES. WOMEN MINING CO-OPERATIVES. THE JUNIOR MINING COMPANIES. Chapter 1 – Introduction to Fluvial Systems. Basic Concepts. Stream Order – . Strahler. Number. Arthur . Strahler. (1957) after Robert Horton (1945). Source: http://www.krisweb.com/stream/stream_order_kris.htm. 1. Hetal. . Thakkar. , . Nikolay. Laptev, . Hamid. . Mousavi. , . Barzan. . Mozafari. , . Vincenzo. Russo, Carlo Zaniolo. . Computer Science Department UCLA. Data Stream Management Systems (DSMS). a. nd Complex Event Systems. What are different tools available for real-time data mining?. As far as I know there just two tools that are the most well-known in the DS community. These are: (1) VFML, which freely available here http://. Lesson 1. Bernhard Pfahringer. University of Waikato, New Zealand. 2. Or:. Why . YOU. should care about Stream Mining. Overview. 3. Why is stream mining important?. How is it different from batch ML?. (Part 1). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. (Part . 2). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. Arnav Agarwal. Srujun Thanmay Gupta. Shivam. . Bharuka. What is Stream Processing?. Infrastructure for continuous processing of data. Various applications for analysis of live data streams. Two types of operations:. Using LiDAR in the Grand River Grasslands. Progress as of March 1, 2017. Dyan Pursell, GIS Specialist. Results from LiDAR. DEM Processing. Creating a Hydrologically Sound DEM. Generating Streams from a Hydrologically Sound DEM . 2). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. Data . Streams. Slides . based on Chapter 4 . in Mining . Data Streams . What is time series data?. Data that is observed or measured at points in time. Timestamp. Fixed periods. e.g. hours, days, months or years.