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Can Skynet Beat Humans in
Signal Detection?

Kyle Redinger, Co-Founder @VividCortex
Background

Database Performance Management

Measure ‘All the Things’ in 1-Second Detail
Your Mandate

Manage 300x more data
with 1.5x more people.
Signal Detection Theory

Humans
process up to
500GB of data
per second.
Find the Outliers
Signal Detection
Easy

Hard
Easy Signal Detection
% Correct

Response Time

1

1000

0.95

900

0.9

800

0.85

700

0.8

600

0.75

500

0.7

400

0.65

300

0.6

200

Set Size

Set Size

Easy signals are always easy,
regardless of set size.
Hard Signal Detection
% Correct

Response Time

1

1000

0.95

900

0.9

800

0.85

700

0.8

600

0.75

500

0.7

400

0.65

300

0.6

200

Set Size

Set Size

Hard signals get harder
as set size increases.
Signal Detection in Use
Upper Control Limit

Lowe Control Limit

Statistical Process Controls are “Easy”
Signal Detection in Systems
1-Second CPU over 5 Minutes

What’s the cause?
Looking at Work
In a database,
a query is work.

But, I have 300
query classes.

Crap.
CPU

Graph Everything

Query Execution Time
Reduce Data

CPU

Zoom & Remove the Obvious

1/10th of Data Points

Query Execution Time
Man vs Machine
Man

Machine
Man vs Machine
Man

Machine

Non-linear increasing CPU

Statistically significant
Man vs Machine
Man

Machine

Non-linear increasing CPU

Statistically significant

Pattern!

Pattern!

Pattern!

Not model friendly
Shortcomings

Elephants
in the
room?
Shortcomings

Humans
lose with a
known
pattern
Key Thoughts
Our brains do much better with fewer
distractors, so eliminate them!
With unknown patterns, humans
find signals faster than computers.
Thanks
Remember: Less is more.

@kyleredinger

http://www.flickr.com/photos/danielproulx/3524826318/
http://www.sciencedirect.com/science/article/pii/S0896627301003920
http://www.himandus.net/elefunteria/eday/puzzles/hunt_24.html
http://www.federaljack.com/terminator-robots-a-reality/

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Man vs Machine: Signal Detection Theory and Big Data