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Make Data Work
Feb 17–20, 2015 • San Jose, CA

Finding Repeated Structure in Time Series Data: Commercial and Scientific Opportunities

Eamonn Keogh (University of California - Riverside)
12:00pm–12:30pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC.
Average rating: ****.
(4.67, 6 ratings)

Time series data is ubiquitous, as virtually every human endeavor in science, medicine and entertainment now produces copious amounts of time series sensor data. Moreover, the emerging wave of wearable technology is likely to further expand the deluge of time series data from the sensors embedded in smart watches/phones/glasses.

In this talk I will argue that, relative to other types of data (text, social networks etc), time series data is relatively underexploited, and that many opportunities are available for novel commercial applications and scientific discoveries. I will further argue that finding repeated patterns (time series motifs) has the potential to the key technology in these endeavors. The talk will be illustrated with concrete examples in domains as diverse as medicine, equipment monitoring and entomology.

Eamonn Keogh

University of California - Riverside

Dr. Eamonn Keogh is a professor of computer science at the University of California Riverside, specializing in data mining. He is a highly prolific researcher, as of 2015 he is one of only three people to have at least 20 papers in each of the top data mining conferences (ACM SIGKDD, IEEE ICDM and SIAM SDM), and one of only two people to have won a best paper award in each. His work on time series algorithms and data representations have been cited over 17,000 times and used in hundreds of commercial and scientific endeavors.