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Big Data with ADAMS Big Data with ADAMS What the heck is ADAMS? - PowerPoint PPT Presentation

Big Data with ADAMS Big Data with ADAMS What the heck is ADAMS? Peter Reutemann What is ADAMS? Java, GPLv3 Data mining: MOA, WEKA, MEKA, R Spreadsheets and databases Image and video processing Visualizations (plots, GIS)


  1. Big Data with ADAMS Big Data with ADAMS What the heck is ADAMS? Peter Reutemann

  2. What is ADAMS? ● Java, GPLv3 ● Data mining: MOA, WEKA, MEKA, R ● Spreadsheets and databases ● Image and video processing ● Visualizations (plots, GIS) ● Scripting via Jython and Groovy ● ... 10/08/2015 Peter Reutemann 2 of 18

  3. Flow ● Operators are called “actors” ● Actors arranged in tree, no connections ● Actor “handlers” nest other actors ● e.g., sequence of actors ● Control actors control data flow ● e.g., branch, tee, if-then-else, switch ● Input/output defines ● standalone , source , transformer , sink 10/08/2015 Peter Reutemann 3 of 18

  4. Flow (2) ● Tree only supports 1-to-n connections ● Simulating n-to-m semantics ● Containers ● Variables ● Internal storage ● Callable actors 10/08/2015 Peter Reutemann 4 of 18

  5. Examples Execute nested actors one after the other Output file to read Read file Load dataset, apply filter and Set class attribute display dataset Apply filter Display data 10/08/2015 Peter Reutemann 5 of 18

  6. Examples (2) Generate data stream Feed data into branches 1 st sequence of steps Filter data stream in two Apply stream filter separate branches with different filters, evaluate Evaluate classifier classifier and plot metric Filter measurement of interest Generate data for plot Plot 2 nd sequence of steps Apply different stream filter 10/08/2015 Peter Reutemann 6 of 18

  7. Examples (3) groups actors accessible via their name (“callable actors”) combined plot ... Generate combined plot of two evaluations 1 st evaluation: create plotting data by using “callable Pump data into referenced plot actors” functionality ... 2 nd evaluation: create plotting data Pump data into referenced plot 10/08/2015 Peter Reutemann 7 of 18

  8. Research (demos) ● Compare two MOA classifiers (drift) ● Compare MOA classifier on different streams ● MOA cluster visualization ● Track mouse in video 10/08/2015 Peter Reutemann 8 of 18

  9. MOA - Drift 10/08/2015 Peter Reutemann 9 of 18

  10. MOA - Drift 10/08/2015 Peter Reutemann 10 of 18

  11. MOA - different streams 10/08/2015 Peter Reutemann 11 of 18

  12. MOA - different streams 10/08/2015 Peter Reutemann 12 of 18

  13. MOA - Cluster visualization 10/08/2015 Peter Reutemann 13 of 18

  14. MOA - Cluster visualization Stream 2 Stream 1 10/08/2015 Peter Reutemann 14 of 18

  15. Track mouse 10/08/2015 Peter Reutemann 15 of 18

  16. Track mouse 10/08/2015 Peter Reutemann 16 of 18

  17. Industry ● BLGG - environmental lab in NL ● Spectral analysis ● XRF: 10,000, MIR: 2,000, NIR: 1,500 ● In operation since 2006 ● Predictive modelling: soil, plant (~250 models) ● 1,000 to 3,000 samples per day ● Savings due to less wet chemistry ● USD 18 million to USD 33 million per year 10/08/2015 Peter Reutemann 17 of 18

  18. Interested? https://adams.cms.waikato.ac.nz/ @TheAdamsFlow 10/08/2015 Peter Reutemann 18 of 18

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