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

3. Internet/web search in the early days
33

4. Once we have (lots of) data we need to be able to find it
4
source: Passler.com

5. IoT data flow
5
P. Barnaghi, A. Sheth, “On Searching the Internet of Things: Requirements and Challenges”, IEEE Intelligent Systems, 2016.

6. Patterns and Segmentation of time-series data
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A. Gonzalez-Vidal, P. Barnaghi, A. F. Skarmeta, BEATS: Blocks of Eigenvalues Algorithm for Time series Segmentation, IEEE TKDE, 2018.

7. BEATS Algorithm
7A. Gonzalez-Vidal, P. Barnaghi, A. F. Skarmeta, BEATS: Blocks of Eigenvalues Algorithm for Time series Segmentation, IEEE TKDE, 2018.

8. Adaptable and dynamic learning methods

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. Pattern analysis
10
Days
Time
Aggregated daily pattern (2weeks)
Days
Time
Aggregated daily pattern (2weeks)

11. An IoT search engine
11

12. Thank you.
http://personal.ee.surrey.ac.uk/Personal/P.Barnaghi/
@pbarnaghi
p.barnaghi@surrey.ac.uk
https://iotcrawler.eu