Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Internet Search: the past, present and the future

15 views

Published on

IoTCrawler workshop, IoTWeek 2019, Aarhus, Denmark.

Published in: Education
  • Be the first to comment

  • Be the first to like this

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

×