Datasets PowerPoint Presentations - PPT
Clustering Mining of Massive Datasets - presentation
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.
Combining datasets You have two datasets that you wish to combine - pdf
Below we will draw a dataset as a box where in the box the variables go across and the observations go down See append if you want to combine datasets vertically append adds observations to the existing variables That is an oversimpli64257cation be
Ensembles of HMMs and their use in - presentation
biomolecular. sequence analysis. Nam-phuong Nguyen. Carl R. Woese Institute for Genomic Biology. University of Illinois at Urbana-Champaign. Human Microbiome. 10 times more bacteria cells than human cells.
The Phylogeny of a Dataset - presentation
Andrea K Thomer & Nicholas M. Weber. Center for Informatics Research in Science and Scholarship. Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign. Time.
Knowledge Evolution in - presentation
Distributed . Geoscience Datasets and . the Role . of Semantic Technologies. Xiaogang (Marshall) Ma. Tetherless World Constellation. Rensselaer Polytechnic Institute. @. MarshallXMa. firstname.lastname@example.org. x.marshall.ma.
Generating - presentation
Automatic Semantic Annotations for . Research . Datasets. Ayush Singhal and Jaideep Srivastava. CS dept. , . University of Minnesota, MN, USA. Contents. Motivation. Problem statement. Proposed approach.
EMOTIVE: Data Collection - presentation
19. th. July, Loughborough University, UK. Dr. Tom Jackson, Dr. Ann O’Brien and Dr. Martin Sykora. EMOTIVE Work Packages and Milestones. Contents. Previous Work. Technical Considerations. Retrieval of Datasets.
GB23 Public symposium, - presentation
brasÍlia. , 26 . october. 2016. GBIF.org. milestones for 2016. Tim Hirsch, Deputy Director, GBIF Secretariat. New datasets. doi. :10.15468/. xabmiz. . . Photo. : . Catocala. . nupta. . by . M.Virtala.
Factors affecting mRNA expression in a large population study - presentation
. Peter J. Munson, Ph.D.. Mathematical and Statistical Computing Laboratory. Division of Computational Bioscience. Center for Information Technology, NIH. Systems Biology. Has been greatly facilitated by completion of human genome.
Multiple Indicator Cluster Surveys - presentation
. Data Interpretation, Further Analysis and Dissemination Workshop. Data Archiving. Look familiar?. Today’s storage medium. is no longer file cabinets . and storage rooms.... What is archiving and .
BOP Regional Council Geospatial Services - presentation
Michele Hosking & Dave Withington. 2. Agenda. We can help. Local Government datasets. What. How to get them. Your data. Basic skills of a geospatial . professional. Dataset run through. Provide datasets.
The CEOS - presentation
Systems Engineering Office. . Tools & Applications. Presented by: Kim Keith. . The Systems Engineering Office (SEO). 2. Management services: . CEOS website and mailing list management. CEOS Work Plan development.
Ransomware on the Mainframe - presentation
Checkmate!. Chad Rikansrud. About me. Speaker at conferences. DEF CON, . Derbycon. , SHARE, RSA 2017, others. Mainframe security consultant. Reverse engineering, networking, forensics, development. Mainframe (z/OS) researcher.
MER Analysis using Fact - presentation
View . Analytic . Datasets. Part 1. Course Logistics. Logistics Needs for this Course. Element. Notes. Room setup/ configuration (. Theatre. style, semi-circle, classroom, etc.). Classroom or tables.
Comparison among - presentation
Six Datasets . of . Forest . at 2010 in The Philippines. Professor Robert . Gil. more Pontius Jr and Ronald Estoque. Clark University, USA and University of Tsukuba, Japan. www.clarku.edu/~rpontius. .
Introduction to Spark Shannon Quinn - presentation
(with thanks to . Paco. Nathan and . Databricks. ). Quick Demo. Quick Demo. API Hooks. Scala. / Java. All Java libraries. *.jar. http://www.scala-lang.org. Python. Anaconda: . https://store.continuum.io/cshop/anaconda.
DAP, ERDDAP, and Tabular (Sequence) Datasets - presentation
Try it: http://coastwatch.pfeg.noaa.gov/erddap. Bob Simons <email@example.com>. NOAA NMFS SWFSC ERD. OBIS SOS Custom DAP ERDDAP .... Database ERDDAP Files .
Human Action Recognition across Datasets by Foreground-weig - presentation
Waqas. . Sultani. , Imran . Saleemi. CVPR 2014. Motivation. Training. Testing. Accuracy (. avg. ). Dense STIP for cross dataset recognition. UCF50. UCF50. 70 %. UCF50. HMDB51. 55.7 %. Olympic Sports.
Pixel Visualization of keyword search results in large emai - presentation
Jay Koven Fall 2013. Research Overview. The problem: Both criminal and Civil investigations are being over with with information in the cyber age.. New techniques are needed to handle the overload. Visualization of data can provide solutions.
Analysis of Remote Sensing Data for Tornado Damage Assessment - presentation
Presented by: Justin Novak. Advisor: Guido Cervone, Ph.D.. Purpose. To determine which remote sensing platform is best suited for emergency management. 2. Agenda. Selection Criteria for Study Area.
Autodesk University 2015 - presentation
– Webcast #3. AU Support for Your Hands-on Lab. STAY TUNED. THE CALL WILL BEGIN AT 12:05 PACIFIC TIME. .. PLEASE MUTE YOUR PHONES AND MICROPHONES. . Welcome . – . Adam Sopko. Hands-on Labs Overview .
Baselines and Bigrams: Simple - presentation
, Good Sentiment and Topic Classification. Using bag of features + linear classifiers. Sida Wang and Chris Manning. Stanford University. Sentiment and Topical Classification. Positive vs. negative:. ".
Mining of Massive Datasets: - presentation
Course Introduction. 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 .
4. Large-Scale Forcing Datasets - presentation
Large-scale . forcings. are obtained: . From the ARM variational analysis (ARM VA) for a standard domain (300 km, 25 mb) & reduced domain (150 km, 10 mb) . Derived from ECMWF for a standard domain (300 km) and a reduced domain (150 km), both with 3-25 .