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Episode 01
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Urban Computing as a Way to Address them

[source IEEE Pervasive Computing,July-September 2007 (Vol. 6, No. 3)]
3

OneSpace

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
MOST%COMMON%PREDICTIVE%MODELS
%

•  Clustering%–%finding%groups%and%predic@ng%themes%
•  Classifica@on%–%most%popular%“Decision%tree”%%
•  Associa@on%–%mul@%assurance%connected%buckets%
•  Link%Analysis%–%rela@onships%
•  Text%Mining%–%unstructured%data%to%meaning%
•  Time%Series%–%predic@ng%a%con@nuous%value%
•  Graph%Structure%–%structure%predicts%behavior%
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Community
It is a group of populations living together and interacting
with each other - sharing the same food, places,
shelter, water resources, etc, etc . . .
ReeF

Fores
t

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Verifying Isomorphic graph

Graph B
Graph A
Vertices(A) :

a

b

c

d

e

Vertices(B):

q

p

r

s

t

Degree of vertices:

2

3

3

3

1

Edges(A):

e1

e2

e3

e4

e5

e6

Edges(B):

e’1

e’4

e’3

e’2

e’5

e’6

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
LIVING THINGS AND THE
ENVIRONMENT

In this unit we will
study the different rolls and
impact that the living things have
on the environment. There will be
a strong focus in the interaction
that organisms have among
themselves and the environment
OBJECTIVE :
How is a cat similar and different from a
fish besides the physical appearance ?

Organisms that live in
different habitats

el “ Gato volador ”
What is an
Organism ?

It’s a Living thing that has (or can develop)
the ability to act or function independently
Where do organisms live?
They live in their habitats

What is a habitat?
It is the physical space that has all the
propped conditions for an organism to live,
and reproduce. It has to provide the
necessary food and water needed to
survive
Do you think that only one specie
can live in a habitat?
NO - many species can
live in the same habitat

What are species ?
Species are often defined as
a group of organisms capable
of interbreeding and
producing fertile offspring.
What is a population?
Group of organisms of
the same specie
Community
It is a group of populations living together and
interacting with each other - sharing the
same food, places, shelter, water resources,
etc, etc . . .
ReeF
Fores
t
What is a community ?

Is a group of different Populations
living in the same area
Giraffes
population
Lions
population

Hippopotamus
population
Take a look at this place

this is the community of the Reef
What are the “ Abiotic ” factors?
are the Non-Living components of an area, such as air,
rocks, soil, water, climate and shelter
What are the Biotic factors?
are the Living Organisms of a given area - animals,
insects, bacteria, , plants and humans
if you take some Biotic factors
then choose an Abiotic factor
And put
them
together
> That is an Ecosystem <

YEAH

!
Degree
! 

! 

! 

The degree of vertex in an undirected graph is the number of
edges incident to that vertex.
A vertex with degree one is called pendent vertex or end
vertex.
A vertex with degree zero and hence has no incident edges is
called an isolated vertex.
A

V1
B

Pendent vertex

In the undirected graph vertex v3 has the degree 3
And vertex v2 has the degree 2

Isolated vertex

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Do you think that only one specie can live in a habitat?
NO - many species can live in the
same habitat

What are species ?

Species are often defined as a
group of organisms capable of
interbreeding and producing
fertile offspring.
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
What is a population?
Group of organisms of the
same specie

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
> That is an Ecosystem <

YEAH
For more information visit http://wiki.larkc.eu/UrbanComputing

!

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Limiting Factors
! 

A factor or limiting resource is a factor that controls a process,
such as organism growth or species population, size or
distribution. The availability of food, predation pressure, hard
temperatures or availability of shelter are examples of factors
that could be limiting for an organism. An example of a limiting
factor is sunlight, which is crucial in rainforests.

! 

Another example is rain, which can bust an ecosystem in two
ways. One way is rain can destroy an ecosystem is flood.
Flooding can wash away shelter, food, and even parts of the lifeform's population itself. The other way rain can destroy an
ecosystem is drought. The main way it can destroy an
ecosystem is the depletion more information visit http://wiki.larkc.eu/UrbanComputing
of food sources.
For

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Limiting Factors
•  A factor or limiting resource is a factor that controls a
process, such as organism growth or species population,
size or distribution. The availability of food, predation
pressure, hard temperatures or availability of shelter are
examples of factors that could be limiting for an organism.
An example of a limiting factor is sunlight, which is crucial in
rainforests.
•  Another example is rain, which can bust an ecosystem in
two ways. One way is rain can destroy an ecosystem is
flood. Flooding can wash away shelter, food, and even parts
of the life-form's population itself. The other way rain can
destroy an ecosystem is drought. The main way it can
Challenging the Internet of the
Future with Urban Computing
Lecturer:

Emanuele Della Valle
emanuele.dellavalle@cefriel.it
Authors:
http://swa.cefriel.it
Emanuele Della Valle, Irene Celino, Kono Kim, Zhisheng Huang,
http://emanueledellavalle.org
Volker Tresp, Werner Hauptmann, and Yi Huang
Cities are alive
! 
! 

Cities born, grow, evolve
like living beings.
The state of a city
changes continuously,
influenced by a lot of
factors,
! 

! 

human ones: people
moving in the city or
extending it
natural ones:
precipitations or climate
changes
[source http://www.citysense.com]

2

OneSpace

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Availability of Data
! 

! 

Some years ago, due to the lack of data, solving Urban Computing
problems with ICT looked like a
Sci-Fi idea.
Nowadays, a large amount of the required information can be made
available on the Internet at almost no cost:
! 
! 
! 
! 
! 
! 

! 

We are running a survey (please contribute), see
! 
! 

4

maps with the commercial activities and meeting places,
events scheduled in the city and their locations,
average speed in highways, but also normal streets
positions and speed of public transportation vehicles
parking availabilities in specific parking areas,
and so on.

OneSpace

http://wiki.larkc.eu/UrbanComputing/ShowUsABetterWay
http://wiki.larkc.eu/UrbanComputing/OtherDataSources

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
The LarKC project

c.eu !
://www.lark
Visit http
[Source: Fensel, D., van Harmelen, F.: Unifying reasoning and search to web scale. IEEE Internet Computing 11(2) (2007)]
5

OneSpace

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
A Challenging Use Case 1/5
Actors:

Varese

Carlo: a citizen
living in Varese.
The day after, he
has to go to
Lombardy Region
premises in
Milano at 11.00.
! 
UCS: a fictitious
Urban Computing
System of Milano
area
Ways to Milano
! 

6

OneSpace

Milano

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Vision for Urban Computing

Mobility
Tourism

City Planning

7

OneSpace

Culture

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Thank you for paying attention

Any Questions?

8

OneSpace

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Challenging the Internet of the
Future with Urban Computing
Lecturer:

Emanuele Della Valle
emanuele.dellavalle@cefriel.it
Authors:
http://swa.cefriel.it
Emanuele Della Valle, Irene Celino, Kono Kim, Zhisheng Huang,
http://emanueledellavalle.org
Volker Tresp, Werner Hauptmann, and Yi Huang
Insights – Analysis – Content Engineering

When Big Data and Predictive
Analytics Collide:
Visual Magic Happens
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
The Problem:
Massive data explosion (mobile, social,
wearable, cloud, m2m etc.) and brands are
struggling to make use of this data.
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Then, Now & Where We’re going

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Where We’re Going – Pattern prediction

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Where to go

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
KDD-Nuggets http://kdnuggets.com
RapidMiner http://rapid-i.com
R Statistical Computing http://www.r-project.org
Revolution Analytics http://www.revolutionanalytics.com
Teradata http://www.teradata.com
Tableau http://tableausoftware.com
Spotfire http://spotfire.tibco.com
SAS http://www.sas.com
IBM SPSS http://www.ib.com/software/analytics/spss
Mahout
https://cwiki.apahce.org/confluence/display/MAHOUT/Algoriths
Weka Open Source Data mining
http://www.cs.waikato.ac.nz/ml/weka
Pajek and (large) network analysis and visualization.
http://webdatacommons.org/hyperlinkgraph
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
!  Tableau Demo
http://public.tableausoftware.com/views/

PredictiveDataVisualizationwithSSASDataMining/
Classification#1

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Content Marketing Flow = data

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Visual Content Hub

For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
We’re%Here%to%Help%You
%
Great
Social Engagement
Is About
Knowing what
drives engagement

@chasemcmichael%sales@infinigraph.com
%
@infinigraph
%
hNp://smo.infinigraph.com
%
hNp://www.infinigraph.com
%
YouTube%%/infinigraph
%
Slideshare%%/infinigraph
%
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project
Graphs Part-II
Predictive Analytics

Predictive Analytics enables decision makers
to predict future events and proactively act on that
insight to drive better business.
For more information visit http://wiki.larkc.eu/UrbanComputing

Seven Framework Programme
Information Society Technologies (IST)
Specific Targeted Research Project

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Long uglytestingdeck

  • 2. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 3. Urban Computing as a Way to Address them [source IEEE Pervasive Computing,July-September 2007 (Vol. 6, No. 3)] 3 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 4. MOST%COMMON%PREDICTIVE%MODELS % •  Clustering%–%finding%groups%and%predic@ng%themes% •  Classifica@on%–%most%popular%“Decision%tree”%% •  Associa@on%–%mul@%assurance%connected%buckets% •  Link%Analysis%–%rela@onships% •  Text%Mining%–%unstructured%data%to%meaning% •  Time%Series%–%predic@ng%a%con@nuous%value% •  Graph%Structure%–%structure%predicts%behavior% For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 5.
  • 6. Community It is a group of populations living together and interacting with each other - sharing the same food, places, shelter, water resources, etc, etc . . . ReeF Fores t For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 7. Verifying Isomorphic graph Graph B Graph A Vertices(A) : a b c d e Vertices(B): q p r s t Degree of vertices: 2 3 3 3 1 Edges(A): e1 e2 e3 e4 e5 e6 Edges(B): e’1 e’4 e’3 e’2 e’5 e’6 For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 8. LIVING THINGS AND THE ENVIRONMENT In this unit we will study the different rolls and impact that the living things have on the environment. There will be a strong focus in the interaction that organisms have among themselves and the environment OBJECTIVE :
  • 9. How is a cat similar and different from a fish besides the physical appearance ? Organisms that live in different habitats el “ Gato volador ”
  • 10. What is an Organism ? It’s a Living thing that has (or can develop) the ability to act or function independently
  • 11. Where do organisms live? They live in their habitats What is a habitat? It is the physical space that has all the propped conditions for an organism to live, and reproduce. It has to provide the necessary food and water needed to survive
  • 12.
  • 13. Do you think that only one specie can live in a habitat? NO - many species can live in the same habitat What are species ? Species are often defined as a group of organisms capable of interbreeding and producing fertile offspring.
  • 14. What is a population? Group of organisms of the same specie
  • 15. Community It is a group of populations living together and interacting with each other - sharing the same food, places, shelter, water resources, etc, etc . . . ReeF Fores t
  • 16. What is a community ? Is a group of different Populations living in the same area Giraffes population Lions population Hippopotamus population
  • 17. Take a look at this place this is the community of the Reef
  • 18. What are the “ Abiotic ” factors? are the Non-Living components of an area, such as air, rocks, soil, water, climate and shelter
  • 19. What are the Biotic factors? are the Living Organisms of a given area - animals, insects, bacteria, , plants and humans
  • 20.
  • 21. if you take some Biotic factors
  • 22. then choose an Abiotic factor
  • 24. > That is an Ecosystem < YEAH !
  • 25.
  • 26. Degree !  !  !  The degree of vertex in an undirected graph is the number of edges incident to that vertex. A vertex with degree one is called pendent vertex or end vertex. A vertex with degree zero and hence has no incident edges is called an isolated vertex. A V1 B Pendent vertex In the undirected graph vertex v3 has the degree 3 And vertex v2 has the degree 2 Isolated vertex For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 27.
  • 28. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 29. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 30. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 31. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 32. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 33. Do you think that only one specie can live in a habitat? NO - many species can live in the same habitat What are species ? Species are often defined as a group of organisms capable of interbreeding and producing fertile offspring. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 34. What is a population? Group of organisms of the same specie For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 35. > That is an Ecosystem < YEAH For more information visit http://wiki.larkc.eu/UrbanComputing ! Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 36. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 37. Limiting Factors !  A factor or limiting resource is a factor that controls a process, such as organism growth or species population, size or distribution. The availability of food, predation pressure, hard temperatures or availability of shelter are examples of factors that could be limiting for an organism. An example of a limiting factor is sunlight, which is crucial in rainforests. !  Another example is rain, which can bust an ecosystem in two ways. One way is rain can destroy an ecosystem is flood. Flooding can wash away shelter, food, and even parts of the lifeform's population itself. The other way rain can destroy an ecosystem is drought. The main way it can destroy an ecosystem is the depletion more information visit http://wiki.larkc.eu/UrbanComputing of food sources. For Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 38. Limiting Factors •  A factor or limiting resource is a factor that controls a process, such as organism growth or species population, size or distribution. The availability of food, predation pressure, hard temperatures or availability of shelter are examples of factors that could be limiting for an organism. An example of a limiting factor is sunlight, which is crucial in rainforests. •  Another example is rain, which can bust an ecosystem in two ways. One way is rain can destroy an ecosystem is flood. Flooding can wash away shelter, food, and even parts of the life-form's population itself. The other way rain can destroy an ecosystem is drought. The main way it can
  • 39. Challenging the Internet of the Future with Urban Computing Lecturer: Emanuele Della Valle emanuele.dellavalle@cefriel.it Authors: http://swa.cefriel.it Emanuele Della Valle, Irene Celino, Kono Kim, Zhisheng Huang, http://emanueledellavalle.org Volker Tresp, Werner Hauptmann, and Yi Huang
  • 40. Cities are alive !  !  Cities born, grow, evolve like living beings. The state of a city changes continuously, influenced by a lot of factors, !  !  human ones: people moving in the city or extending it natural ones: precipitations or climate changes [source http://www.citysense.com] 2 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 41. Availability of Data !  !  Some years ago, due to the lack of data, solving Urban Computing problems with ICT looked like a Sci-Fi idea. Nowadays, a large amount of the required information can be made available on the Internet at almost no cost: !  !  !  !  !  !  !  We are running a survey (please contribute), see !  !  4 maps with the commercial activities and meeting places, events scheduled in the city and their locations, average speed in highways, but also normal streets positions and speed of public transportation vehicles parking availabilities in specific parking areas, and so on. OneSpace http://wiki.larkc.eu/UrbanComputing/ShowUsABetterWay http://wiki.larkc.eu/UrbanComputing/OtherDataSources For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 42. The LarKC project c.eu ! ://www.lark Visit http [Source: Fensel, D., van Harmelen, F.: Unifying reasoning and search to web scale. IEEE Internet Computing 11(2) (2007)] 5 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 43. A Challenging Use Case 1/5 Actors: Varese Carlo: a citizen living in Varese. The day after, he has to go to Lombardy Region premises in Milano at 11.00. !  UCS: a fictitious Urban Computing System of Milano area Ways to Milano !  6 OneSpace Milano For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 44. Vision for Urban Computing Mobility Tourism City Planning 7 OneSpace Culture For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 45. Thank you for paying attention Any Questions? 8 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 46. Challenging the Internet of the Future with Urban Computing Lecturer: Emanuele Della Valle emanuele.dellavalle@cefriel.it Authors: http://swa.cefriel.it Emanuele Della Valle, Irene Celino, Kono Kim, Zhisheng Huang, http://emanueledellavalle.org Volker Tresp, Werner Hauptmann, and Yi Huang
  • 47. Insights – Analysis – Content Engineering When Big Data and Predictive Analytics Collide: Visual Magic Happens For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 48. The Problem: Massive data explosion (mobile, social, wearable, cloud, m2m etc.) and brands are struggling to make use of this data. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 49. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 50. Then, Now & Where We’re going For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 51. Where We’re Going – Pattern prediction For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 52. Where to go For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 53. KDD-Nuggets http://kdnuggets.com RapidMiner http://rapid-i.com R Statistical Computing http://www.r-project.org Revolution Analytics http://www.revolutionanalytics.com Teradata http://www.teradata.com Tableau http://tableausoftware.com Spotfire http://spotfire.tibco.com SAS http://www.sas.com IBM SPSS http://www.ib.com/software/analytics/spss Mahout https://cwiki.apahce.org/confluence/display/MAHOUT/Algoriths Weka Open Source Data mining http://www.cs.waikato.ac.nz/ml/weka Pajek and (large) network analysis and visualization. http://webdatacommons.org/hyperlinkgraph For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 54. !  Tableau Demo http://public.tableausoftware.com/views/ PredictiveDataVisualizationwithSSASDataMining/ Classification#1 For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 55. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 56. Content Marketing Flow = data For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 57. Visual Content Hub For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 58. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 59. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 60. We’re%Here%to%Help%You % Great Social Engagement Is About Knowing what drives engagement @chasemcmichael%sales@infinigraph.com % @infinigraph % hNp://smo.infinigraph.com % hNp://www.infinigraph.com % YouTube%%/infinigraph % Slideshare%%/infinigraph % For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  • 62.
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74.
  • 75. Predictive Analytics Predictive Analytics enables decision makers to predict future events and proactively act on that insight to drive better business. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project