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Presented by Gilbert PINOT of Universite Haute-Alsace last 27-31 October 2015 in Bogor, Indonesia at the Climate Change: Observation, Analysis and Health Conference
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Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 1
Introduction to
data mining and analysis
Gilbert PINOT
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 2
Big Data & Data Mining
2003 : big bang of digital stored informations
10 21
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 3
Big Data & Data Mining huge amount of data created daily
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 4
Big Data & Data Mining data natures
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Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 5
Big Data & Data Mining data sources
.
.
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 6
usual data based systems
high pertinence data
DATA
DATA
DATA data data
data data data
data
data data
data data
data data data
data data
data data
data
data
data
data data
low pertinence data
low volume very large volume
big data
Big Data & Data Mining
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 7
how to explore ?
how to retriew ?
Big Data & Data Mining
pertinence of the result?
how to analyse ?
Data Mining exploration
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 8
how to explore ?
how to retriew ?
Big Data & Data Mining
pertinence of the result?
how to analyse ?
Data Mining analyse
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 9
Data Mining Analytics strategies
predictive analysis
presciptive analysis
descriptive analysis
Data Mining
collect large amounts of data
try to give them meaning restropectivly
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 10
Data mining Applications
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 11
Data mining Domain of activity
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 12
Data mining
Data Mining provide a set of techniques to
give meaning to available data
How to mine knowledge from huge amount of data ?
Prospection tools
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 13
Data mining Principle : extraction of knowledge from large
amounts of data
build
predictive models
uncover
original structures
or patterns data
data
data data
data
data
data find
correlations
between data
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 14
Data Mining Specialisation area
Data Mining - pattern recognition
- data visualization
- statistics
- data base technology
- expert systems
- ...
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 15
Data Mining Difficulties and challenges
data data
data data
data data dat
a
dat
a
dat
a
compilation
of raw data
with different
structures
data formats dat
a
data variability of data over time
data data data data
continuous flow of data
data data data
data data
data data data data data
data data data data
data data data
data data
data data data data data data data
data data data
data data
data data data data data
data data data
data data data
data data
data data data data data
data data data
processing capabilities
processing time data base technology energy
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 16
What could Data Mining bring?
example :
- identification of a possible disease
outbreak
- prediction of epidemic before they spreed
generate an alert if a precise event occurs
==> it could help prepare first-responders and other
health professionnals
watch in real time
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 17
Why in Indonesia ?
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 18
Why in Indonesia ?
jokowi
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 19
Why in Indonesia ?
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 20
not any more a purely academic exercise
could be a real challenge for healthcare
and disease propagation
detection
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 21
terima kasih
คุณขอบคุณ
merci
Gilbert PINOT
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 22
Climate change: Observation, Analysis and Health
IICC – Bogor, 27 – 31 October 2015 23
usual data based systems
high pertinence data
DATA
DATA
DATA data data
data data data
data
data data
data data
data data data
data data
data data
data
data
data
data data
low pertinence data
low volume very large volume
big data
Big Data & Data Mining
Performance of
new representation model
are guaranted by the large
data volume
