Time-Series Analysis

Time-series analysis has been studied extensively in the past but it has been recently receiving significant attention in the academic and software development community.

In sectors where time is not just a metric but a primary axis such as IoT, finance, energy, retail industry, etc. it is starting to be clear the value out of the insights that can be gained from time series data.

Zach Zimmerman

PhD student

Zach Zimmerman is a 4th year PhD student at University of California, Riverside. His research is focused on scalable time series data mining, in particular, using GPUs, distributed computing, and machine learning to enable scaling of time series motif discovery. His work is being used across multiple domains by researchers in both academia and industry. He has industry experience through internships with Google, Intel, and Nvidia working on various projects, mostly in the high-performance computing space.

The Shapelets Team


Time Series

Shapelets is a software research company with a passion for bringing academic computer science papers into software products that are easy to be used by anyone.

The company is headquartered in Malaga and is an R&D software lab focused on Big Data technologies.

Now we are building the first state-of-the-art Data Series Management System

What the attendees will learn

Attendees will learn about different and unexpected uses of time-series analysis making use of the latest algorithms brought by Academia. 



Workshop plan

 9.00 - 10.30  Intro to Time-Series 

10:30 - 11.00 Coffee break

11.00 - 12.00 Matrix Profile and other algorithms

12.00 - 12.10 Break

12.10 - 13.30 Hands-on: Use cases



Time-Series Analysis

Date and time:

Wednesday 15th

From 9:00 to 13:30


Time-Series algorithms, Parallel Computing, Distributed Systems


Target audience roles:

- Software engineers

- Data Scientists




Coffee and Tea


Palacio de Congresos de Marbella,
Calle José Meliá, 2,
Marbella, Spain
15TH - 17TH MAY 2019

Take a look to previous editions