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Big Data beyond Web Data       Tom Tourwé & Elena Tsiporkova           Software & ICT - Sirris   tom.tourwe@sirris.be elen...
Non-profit & industry-ownedcollective centre of the technology industry
WebProvide near-real-time recommendations for hyper-local& hyper-personal content
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events ...
EmergencyTurn an overwhelming amount of data into user- andcontext-sensitive information to increase situationalawareness ...
EmergencyTurn an overwhelming amount of data into user- andcontext-sensitive information to increase situationalawareness ...
EmergencyTurn an overwhelming amount of data into user- andcontext-sensitive information to increase situationalawareness ...
SecurityBorder guards need to strike the right balance between securityand mobility
SecurityBorder guards need to strike the right balance between securityand mobility➙ identify different traveller profiles ...
SecurityBorder guards need to strike the right balance between securityand mobility➙ identify different traveller profiles ...
SecurityBorder guards need to strike the right balance between securityand mobility➙ identify different traveller profiles ...
EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance
EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance➙ real-time failure pr...
EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance➙ real-time failure pr...
EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance➙ real-time failure pr...
Our services    Tom Tourwé & Elena Tsiporkova        Software & ICT - Sirristom.tourwe@sirris.be elena.tsiporkova@sirris.b...
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Kmo kennisbeurs-slideshare

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Keynote at KMO-Kennisbeurs - Leuven - Oct. 2012

Published in: Technology
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Kmo kennisbeurs-slideshare

  1. 1. Big Data beyond Web Data Tom Tourwé & Elena Tsiporkova Software & ICT - Sirris tom.tourwe@sirris.be elena.tsiporkova@sirris.be
  2. 2. Non-profit & industry-ownedcollective centre of the technology industry
  3. 3. WebProvide near-real-time recommendations for hyper-local& hyper-personal content
  4. 4. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events requirecustomized colloborative filtering algorithms
  5. 5. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events requirecustomized colloborative filtering algorithms
  6. 6. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events require similarcustomized colloborative filtering algorithms
  7. 7. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events require similarcustomized colloborative filtering algorithms
  8. 8. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events require similarcustomized colloborative filtering algorithms
  9. 9. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events require similarcustomized colloborative filtering algorithms➙ user profiles and multi-criteria filtering allow for rankingrecommendations
  10. 10. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events require similarcustomized colloborative filtering algorithms➙ user profiles and multi-criteria filtering allow for rankingrecommendations
  11. 11. WebProvide near-real-time recommendations for hyper-local& hyper-personal content➙ implicit ratings for time-bound events require similarcustomized colloborative filtering algorithms➙ user profiles and multi-criteria filtering allow for rankingrecommendations
  12. 12. EmergencyTurn an overwhelming amount of data into user- andcontext-sensitive information to increase situationalawareness and improve decision making
  13. 13. EmergencyTurn an overwhelming amount of data into user- andcontext-sensitive information to increase situationalawareness and improve decision making➙ capture, model and fuse raw data about users &their environment from heterogeneous data sources
  14. 14. EmergencyTurn an overwhelming amount of data into user- andcontext-sensitive information to increase situationalawareness and improve decision making➙ capture, model and fuse raw data about users &their environment from heterogeneous data sources➙ analyse, filter & pro-actively deliver relevantinformation using appropriate modalities
  15. 15. SecurityBorder guards need to strike the right balance between securityand mobility
  16. 16. SecurityBorder guards need to strike the right balance between securityand mobility➙ identify different traveller profiles with associated risk index
  17. 17. SecurityBorder guards need to strike the right balance between securityand mobility➙ identify different traveller profiles with associated risk index➙ forecast travel flow by observing trends and seasonality inhistorical traffic information
  18. 18. SecurityBorder guards need to strike the right balance between securityand mobility➙ identify different traveller profiles with associated risk index➙ forecast travel flow by observing trends and seasonality inhistorical traffic information➙ detect border crossing anomalies in real-time
  19. 19. EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance
  20. 20. EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance➙ real-time failure prediction & operation anomaly detection byidentifying patterns in historical data
  21. 21. EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance➙ real-time failure prediction & operation anomaly detection byidentifying patterns in historical dataEnergy demand forecasting for dynamic renewable energyproduction
  22. 22. EnergyReduce the maintenance costs of wind turbines & solar plants bymeans of predictive maintenance➙ real-time failure prediction & operation anomaly detection byidentifying patterns in historical dataEnergy demand forecasting for dynamic renewable energyproduction➙ evolution & forecasting of energy production & consumption bybuilding predictive models from historical weather & usage data
  23. 23. Our services Tom Tourwé & Elena Tsiporkova Software & ICT - Sirristom.tourwe@sirris.be elena.tsiporkova@sirris.be http://blog.sirris.be

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