Mining Time Series

From electrocardiograms to the price of stock market or the number of clicks on a web page time series are everywhere around us.

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.

Philip Brisk

Researcher Professor at University of California, Riverside

Philip Brisk received the B.S., M.S., and Ph.D. Degrees, all in Computer Science, from the University of California, Los Angeles (UCLA) in 2002, 2003, and 2006 respectively. From 2006-2009 he was a postdoctoral researcher at EPFL in Switzerland. Since 2009, he has been with the Department of Computer Science and Engineering at the University of California, Riverside. His research interests include the application of computer engineering principles to biological instrumentation, FPGAs and reconfigurable computing, and efficient implementation of computer systems. He is a Senior Member of the ACM and the IEEE.

Antonio Vilches

@avilches

Principal Software Engineer at Shapelets

Antonio is one of the core software engineers at Shapelets, holding BSc and MSc in Computer Sciences from the University of Malaga. He is a software performance gangster. Thus, he went further and pursued a Ph.D. in Parallel Computing, where he developed parallel patterns for CPU-GPU systems. Antonio is the lead team developer of the company, always keen to share his knowledge and help others with their stuff.

What the attendees will learn

Attendees will learn classical and new approaches of mining time-series making use of the latest algorithms brought by Academia. 

Requirements

-Laptop with a scientific Python distribution installed

-Experience with basic Python programming

Workshop plan

1.- Intro to Time-Series

2.- Basic statistics

3.- Dimensionality

4.- Distances

5.- Clustering

6.- Forecasting

7.- Causality

8.- Matrix-Profile

9.- Parallel approach to Time-Series algorithms

 

Mining Time Series


Date and time:

Wednesday 13th

From 9:00 to 17:00

Topics:

Time-Series algorithms, Parallel Computing 

Target audience roles:

- Software engineers

- Data Scientists

Attendees:

30

Included:

Coffee and Tea


Venue


13th May
Polo de Contenidos Digitales Málaga
Av de Sor Teresa Prat, 15, 29003 Málaga
14th-15th May
FYCMA - Palacio de Ferias y Congresos de Málaga
Av. de José Ortega y Gasset, 201, 29006 Málaga
13TH - 15TH MAY 2020

Take a look at previous editions