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Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform

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Beyond typical research experimentation scenarios, there is a need for companies that wish to enhance their online data and analytics solutions to incorporate ways in which they can select, experiment, benchmark, parameterize and choose the version of a machine learning algorithm that seems to be most appropriate for their specific application context. BigDataGrapes was present at ISESS 2020 - 13th International Symposium on Environmental Software Systems held in Wageningen, NL. showcasing the capabilities of the project's big data experimentation platform

Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform

  1. 1. WWW.BIGDATAGRAPES.EU BigDataGrapes - Big Data to Enable Global Disruption of the Grapevine-powered Industries has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780751. Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform ISESS2020 | Wageningen, the Netherlands, 5-7/2/2020 I. Polychronou, P. Katsivelis, M. Papakonstantinou, J. Stoitsis and N. Manouselis Agroknow, 110 Pentelis str., Maroussi, Greece
  2. 2. WWW.BIGDATAGRAPES.EU • Introduction • Big Data Platform • Case of Food Price Prediction • Prediction Experimentation Platform • Conclusions and Next Steps Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 2 Structure
  3. 3. WWW.BIGDATAGRAPES.EU • Within the field of artificial intelligence, machine learning algorithms have been widely extended and adopted over the last decade • Researchers and developers, who use such models and algorithms have yet to find ✓ Interactive ✓ Straightforward ✓ usable ways in which they may test, execute and parameterize such algorithms, without the need for source code adaptations Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 3 Introduction (1/2)
  4. 4. WWW.BIGDATAGRAPES.EU • A number of software toolkits and frameworks have been proposed trying to address this need • There are ✓ software libraries and frameworks ✓ not support pre-processing tasks • Dataset parametrization • Splitting the data sets into train and test components. • Change algorithm’s parameters Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 4 Introduction (2/2)
  5. 5. WWW.BIGDATAGRAPES.EU • An extension to the big data platform that supports food data analytics and intelligence. • A Prediction Experimentation Panel that has ✓ A graphical user interface to help our data scientists and developers test a variety of prediction algorithms in an easy and customizable way ✓ A user-friendly dashboard to evaluate experimentation results. Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 5 Aim
  6. 6. WWW.BIGDATAGRAPES.EU The Big Data Platform 6 Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020
  7. 7. WWW.BIGDATAGRAPES.EU • Introduction • Data Platform • Prediction Experimentation Platform • Case of Food Price Prediction • Conclusions Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 7 The Architecture of Data Platform
  8. 8. WWW.BIGDATAGRAPES.EU Food Price Prediction 8 Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020
  9. 9. WWW.BIGDATAGRAPES.EU • Data preparation process ✓ Data Collection ✓ Data Cleaning ✓ Data Transformation and Selection • Execution and evaluation process ✓ Data Mining process ✓ Evaluation 9 Towards a Prediction Experimentation Panel: the case of food price prediction Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020
  10. 10. WWW.BIGDATAGRAPES.EU • Introduction • Data Platform • Prediction Experimentation Platform • Case of Food Price Prediction • Conclusions Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 10 Typical Experimentation Process
  11. 11. WWW.BIGDATAGRAPES.EU Prediction Experimentation Panel 11 Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020
  12. 12. WWW.BIGDATAGRAPES.EU • Helps researchers to develop the processes between transformation and evaluation process via a user- friendly platform. ✓ Data selection ✓ Data customization ✓ Algorithm selection ✓ Algorithm customization ✓ Results evaluation Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 12 The Prediction Experimentation Panel
  13. 13. WWW.BIGDATAGRAPES.EU Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 13 Step 1: Dataset Selection
  14. 14. WWW.BIGDATAGRAPES.EU Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 14 Step 2: Data customization
  15. 15. WWW.BIGDATAGRAPES.EU Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 15 Step 3: Algorithm selection
  16. 16. WWW.BIGDATAGRAPES.EU Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 16 Step 4: Algorithm customization
  17. 17. WWW.BIGDATAGRAPES.EU Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 17 Step 5: Results Evaluation
  18. 18. WWW.BIGDATAGRAPES.EU Conclusions & Next Steps 18 Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020
  19. 19. WWW.BIGDATAGRAPES.EU • These approaches can greatly facilitate the work of data scientists and software developers • To offer a joint environment in which we can use the rich and heterogeneous data that our big data platform is continuously collecting and processing, to support the experiments of other colleagues in the community. Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 19 Conclusions and Next Steps
  20. 20. WWW.BIGDATAGRAPES.EU Thank you!! Prediction algorithms for food data analytics and intelligence: towards a big data experimentation platform | ISESS2020 20 Ioanna Polychronou Agroknow ioanna.polyxronou@agroknow.com

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