Large data sets comprising multiple correlating attributes may include phenomena hard to identify and understand using traditional data analysis and visualization methods. HeatMiner is a new visual data mining technology which visualizes the data as three-dimensional heatmaps. Even complex patterns missed by other methods are easy to recognize from 3D-heatmaps with a single glance. Go and try HeatMiner with your own data at the Cloud’N’Sci.fi Algorithms-as-a-Service marketplace!

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HeatMiner® is a registered trademark of Agience Oy Ltd
by Pauli Misikangas, the CEO of Cloud’N’Sci Ltd & Agience Oy Ltd

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These two images are identical.
Copyright © Cloud'N'Sci Ltd 2011 2

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These histograms prove it!
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Number of Pixels
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Red Color Intensity Green Color Intensity Blue Color Intensity
DATA 1 ANALYSIS 1
DATA 2 ANALYSIS 2
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Number of Pixels
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Number of Pixels
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Red Color Intensity Green Color Intensity Blue Color Intensity
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It could be Your Business Data...
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Count
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Business Attribute 1 Business Attribute 2 Business Attribute 3
DATA 1 ANALYSIS 1
DATA 2 ANALYSIS 2
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Business Attribute 1 Business Attribute 2 Business Attribute 3
Copyright © Cloud'N'Sci Ltd 2011 4

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Invalid View → Wrong Conclusions
• Over-simplified view to complex data can lead to
wrong conclusions and crucial mistakes
– Nearly all real-world data is complex!
– Most business reports are too simple
• Histograms, pie charts, average trends, ...
– Should be used only for 1-dimensional data
• Scatter plots, bubble diagrams, ...
– Can view 2-3 dimensional data, but often messy
• What if my data has 3+ columns?
Copyright © Cloud'N'Sci Ltd 2011 5

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Visual Data Mining with HeatMiner®
Data as it really is
Colors can be used as
the fourth dimension
The 3D shape or to ease
indicates interpretation
frequent value
combinations
Three selected
attributes define
the point of view
Copyright © Cloud'N'Sci Ltd 2011 6

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Let’s try again...
DATA 1 ANALYSIS 1
DATA 2 ANALYSIS 2
Copyright © Cloud'N'Sci Ltd 2011 7

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(x,y,z) 4D Heatmap
Colors indicates
the average of
observations
The target
column defining
heatmap colors
Copyright © Cloud'N'Sci Ltd 2011 8

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Customer Survey Heatmap
Average=7
Average=1
HeatMiner automatically selects 3 columns
as the optimal view to explain the target
Copyright © Cloud'N'Sci Ltd 2011 9

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Cluster Heatmap
The selected
view separates
groups clearly
HeatMiner selects
the optimal view
Copyright © Cloud'N'Sci Ltd 2011 10

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SWOT Heatmap
Opportunity Strength
Protect this!
Threat
Develop this!
Weakness
HeatMiner selects the
optimal view
Copyright © Cloud'N'Sci Ltd 2011 11

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Difference Heatmap
Red points
dominate
More blue here
points than
red points
What is the
difference
between these
two data sets?
(red vs blue)
Copyright © Cloud'N'Sci Ltd 2011 12

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Click Heatmap
The more clicks,
the deeper hole!
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Geographic Heatmap
Smoothing
makes even
sparse data
look good!
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Confidence Heatmaps
Average is only part of the Truth – check also variance to reveal the risks
Height indicates
the average of Z
(X,Y)→ Z
AVERAGE
&
VARIANCE
Color indicates
the variance of Z
Copyright © Cloud'N'Sci Ltd 2011 15

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Available at the Cloud’N’Sci.fi
Algorithms-as-a-Service Marketplace!
Try HeatMiner
for free!
Full list of
available
solutions
Copyright © Cloud'N'Sci Ltd 2011 16

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http://cloudnsci.fi/wiki
Case stories
and 3D applet
demos
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Copyright © Cloud'N'Sci Ltd 2011 18