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Internet Search: the past, present and the future

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IoTCrawler workshop, IoTWeek 2019, Aarhus, Denmark.

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Internet Search: the past, present and the future

  1. 1. Internet Search: the past, present and the future 1 Payam Barnaghi Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey
  2. 2. 2
  3. 3. Internet/web search in the early days 33
  4. 4. Once we have (lots of) data we need to be able to find it 4 source: Passler.com
  5. 5. IoT data flow 5 P. Barnaghi, A. Sheth, “On Searching the Internet of Things: Requirements and Challenges”, IEEE Intelligent Systems, 2016.
  6. 6. Patterns and Segmentation of time-series data 6 A. Gonzalez-Vidal, P. Barnaghi, A. F. Skarmeta, BEATS: Blocks of Eigenvalues Algorithm for Time series Segmentation, IEEE TKDE, 2018.
  7. 7. BEATS Algorithm 7A. Gonzalez-Vidal, P. Barnaghi, A. F. Skarmeta, BEATS: Blocks of Eigenvalues Algorithm for Time series Segmentation, IEEE TKDE, 2018.
  8. 8. Adaptable and dynamic learning methods
  9. 9. Correlation analysis 9 M. Bermudez-Edo, P. Barnaghi, K. Moessner, “Analysing Real World Data Streams with Spatio-Temporal Correlations: Entropy vs. Pearson Correlation”, Journal of Automation in Construction, Elsevier, vol. 88, pp. 87-100, 2018.
  10. 10. Pattern analysis 10 Days Time Aggregated daily pattern (2weeks) Days Time Aggregated daily pattern (2weeks)
  11. 11. An IoT search engine 11
  12. 12. Thank you. http://personal.ee.surrey.ac.uk/Personal/P.Barnaghi/ @pbarnaghi p.barnaghi@surrey.ac.uk https://iotcrawler.eu

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