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DITEN - University of Genoa - Italy
www.smartlab.ws
(Big) Data Analytics and Intelligent Systems
(for Transport)
Davide.Anguita@unige.it
SmartLab
DITEN - University of Genoa - Italy
www.smartlab.ws
University of Genoa
Polytechnic School
2
Polytechnic	
  School	
  
Established	
  in	
  1870	
  –	
  ~1000	
  students	
  /year	
  	
  
Genuense	
  Athenaeum	
  
Established	
  in	
  1481	
  
35000	
  students	
  
Italian	
  Rank:	
  2nd	
  	
  
(CENSIS	
  2010	
  -­‐	
  among	
  medium-­‐large	
  UniversiMes)	
  
	
  
DITEN	
  	
  
Dept.	
  of	
  InformaMon	
  Technology,	
  Electrical	
  
and	
  Naval	
  Engineering	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
SmartLab People
SMARTLAB 3
Prof.	
  Sandro	
  Ridella	
  
SmartLab	
  ScienMfic	
  Advisor	
  
Prof.	
  Davide	
  Anguita	
  
SmartLab	
  Coordinator	
  
Dr.	
  Alessandro	
  Ghio	
  
Postdoc	
  Research	
  Assistant	
  
	
  
Luca	
  Ghelardoni	
  
Postdoc	
  Research	
  Assistant	
  
	
  
Luca	
  Oneto	
  
Ph.D.	
  Student	
  
	
  
Isah	
  Abdullahi	
  Lawal	
  
ICE	
  Ph.D.	
  Student	
  
(with	
  Univ.	
  of	
  London,	
  UK)	
  
Jorge	
  Luis	
  Reyes	
  Or@z	
  
ICE	
  Ph.D.	
  Student	
  
(with	
  Univ.	
  Politec.	
  de	
  	
  Catalunya,	
  Spain)	
  
	
  
	
  
Giuseppe	
  Ripepi	
  
Ph.D.	
  Student	
  
(now	
  Postdoc	
  @	
  CNR)	
  
+	
  Master	
  students	
  in:	
  
	
  
•  Industrial	
  Engineering	
  
•  Electronic	
  Engineering	
  
•  Computer	
  Engineering	
  
•  RoboMcs	
  Engineering	
  
Mehrnoosh	
  Vahdat	
  
ICE	
  Ph.D.	
  Student	
  
(end	
  of	
  2013)	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Teaching and training
•  Master Course in Industrial Engineering (SV)
–  Business Intelligence
•  Istituto Superiore di Studi in Tecnologie dell'Informazione
e della Comunicazione
–  Business Intelligence & Analytics
•  Master Course in Electronic Engineering
–  Computational Intelligence
•  Corporate training
SMARTLAB 4
DITEN - University of Genoa - Italy
www.smartlab.ws
(Big) Data Analytics
•  Present
– What can be done
•  Past
– What we have learned to do
•  Future
– What we intend to do
SMARTLAB 5
DITEN - University of Genoa - Italy
www.smartlab.ws
(Big) Data Analytics
•  Present
– What can be done
•  Past
– What we have learned to do
•  Future
– What we intend to do
SMARTLAB 6
DITEN - University of Genoa - Italy
www.smartlab.ws
7
Analytics: a process
AbstracMon	
  
InformaMon	
  storage	
  
InducMon	
  
DeducMon	
  
AcMon	
  
Learning	
  from	
  Data	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Big Data
8
Source: UC Berkeley School of Information
DITEN - University of Genoa - Italy
www.smartlab.ws
9
(Big) Data
Servers	
  Running	
  Hadoop	
  at	
  Yahoo.com	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Big Data Analytics: V3
•  Volume: The increase in data volumes within enterprise systems is caused
by transaction volumes and other traditional data types, as well as by new
types of data. Too much volume is a storage issue, but too much data is
also a massive analysis issue.
•  Variety: IT leaders have always had an issue translating large volumes of
transactional information into decisions — now there are more types of
information to analyze — mainly coming from social media and mobile
(context-aware). Variety includes tabular data (databases), hierarchical
data, documents, e-mail, metering data, video, still images, audio, stock
ticker data, financial transactions and more.
•  Velocity: This involves streams of data, structured record creation, and
availability for access and delivery. Velocity means both how fast data is
being produced and how fast the data must be processed to meet demand.
(Gartner – 2011)
10
DITEN - University of Genoa - Italy
www.smartlab.ws
(Big) Data Analytics
11
Data	
  storage	
  /	
  Data	
  warehouse	
  /	
  OLAP	
  
Visual	
  AnalyMcs	
  
Data	
  Mining	
  	
  	
  
Machine	
  Learning	
  	
  …	
  
11
DITEN - University of Genoa - Italy
www.smartlab.ws
(Big) Data Analytics
•  Present
– What can be done
•  Past
– What we have learned to do
•  Future
– What we intend to do
SMARTLAB 12
DITEN - University of Genoa - Italy
www.smartlab.ws
Real-time analytics
Ferrari 13
Fuel	
  predicMon	
  
Skid	
  predicMon	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Fuel prediction - problem
Ferrari 14
-1	
  
-0.5	
  
0	
  
0.5	
  
1	
  
0	
   2000	
   4000	
   6000	
   8000	
   10000	
   12000	
   14000	
  
Fuel	
  
i_ssr2	
  
©	
  WikipediaProlific	
  
KPIs:	
  Fuel	
  injectors	
  current	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Fuel prediction - solution
Ferrari 15
Gaussian	
  Kernel	
  Support	
  
Vector	
  Regressor	
  with	
  
Cross-­‐validated	
  Model	
  
SelecMon	
  
DB	
  
Offline	
  
Online	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Fuel prediction - results
Ferrari 16
Brazil	
  06-­‐Jun-­‐03	
  Lap	
  21-­‐28	
  
OK	
  
Alert	
  
No	
  fuel	
  	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Skid prediction - problem
Ferrari 17
©	
  Robert	
  
KPIs:	
  Acc_x,	
  Acc_y,	
  Speed	
  	
  
©	
  Brian	
  Nelson	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Skid prediction - solution
Ferrari 18
Gaussian	
  Kernel	
  Support	
  
Vector	
  Classifier	
  with	
  
Cross-­‐validated	
  Model	
  
SelecMon	
  
DB	
  
Offline	
  
Skid	
   No	
  skid	
  
Online	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Skid prediction - result
05/03/14 Prova 19
-3
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
0 2000 4000 6000 8000 10000 12000
Analog output
Real target
M.Schumacher	
  -­‐	
  Fiorano	
  
PredicMon	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
SMARTLAB 20
Smart Waves
In	
  cooperaMon	
  with	
  
MoMon	
  predicMon	
  for	
  Landing	
  Period	
  Designator	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
NeuroZenit
SMARTLAB 21
ForecasMng	
  of	
  urban	
  traffic	
  
	
  
Part	
  of	
  Elsag	
  Zenit	
  system	
  
In	
  cooperaMon	
  with	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
SMARTLAB 22
Smart Bus
In	
  cooperaMon	
  with	
  
Arrival	
  Mme	
  forecasMng	
  for	
  bus	
  fleets	
  
	
  
Tests	
  performed	
  on	
  ATM	
  (Milan)	
  bus	
  #90	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
SMARTLAB 23
Oracle Data Mining Suite
Oracle	
  10g	
  DM	
  Suite	
  –	
  Beta	
  tesMng	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
SMARTLAB 24
EUNITE
European Network on Intelligent Technologies
ISAAC
Internet Smart Adaptive Algorithm
Computational Server
(2002	
  –	
  2004)	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
… 2013…
SMARTLAB 25
(Grimilde)	
  4	
  x	
  Xeon	
  (8C)	
  –	
  64	
  virtual	
  cores	
  –	
  128	
  GB	
  Ram	
  
(Arla)	
  2	
  x	
  Xeon	
  (4C)	
  –	
  16	
  virtual	
  cores	
  –	
  32	
  GB	
  Ram	
  
	
  
6TB	
  NAS	
  –	
  Storage	
  
1Gb/s	
  Ethernet	
  
	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
…2015
SMARTLAB 26
(IBM	
  Cluster	
  -­‐	
  256	
  nodes)	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Business Intelligence on Clouds
SMARTLAB 27
Courtesy:	
  Salesforce.com	
  
In	
  cooperaMon	
  with:	
  	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
(Big) Data Analytics
•  Present
– What can be done
•  Past
– What we have learned to do
•  Future
– What we intend to do
SMARTLAB 28
DITEN - University of Genoa - Italy
www.smartlab.ws
SMARTLAB 29
Analytics for Complex Data:
Process Mining
In	
  cooperaMon	
  with:	
  	
  
Log	
  file	
  
Process	
  descripMon	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
BigData@SIIT: NoSQL DBs…
•  Wide Column: Hadoop / Hbase; Cassandra; Hypertable; Accumulo; Amazon SimpleDB;
Cloudata; Cloudera; HPCC; Stratosphere;
•  Document Store: MongoDB; CouchDB; RavenDB; Clusterpoint Server; ThruDB;
Terrastore; RaptorDB; JasDB; SisoDB; SDB; SchemaFreeDB; djondb;
•  Key Value/ Tuple Store: DynamoDB; Azure Table Storage; Couchbase Server; Riak;
Redis; LevelDB; Chordless; GenieDB; Scalaris; Tokyo Cabinet / Tyrant; Scalien; Berkeley
DB; Voldemort; Dynomite; KAI; MemcacheDB; Faircom C-Tree; HamsterDB; STSdb;
Tarantool/Box; Maxtable; RaptorDB; TIBCO Active Spaces; allegro-C; nessDB; HyperDex;
Mnesia; LightCloud; Hibari; BangDB; OpenLDAP;
•  Graph Databases: Neo4J; Infinite Graph; Sones; InfoGrid; HyperGraphDB; DEX;
GraphBase; Trinity; AllegroGraph; BrightstarDB; Bigdata; Meronymy; OpenLink Virtuoso;
VertexDB; FlockDB;
•  Multimodel Databases: OrientDB; ArangoDB; AlchemyDB;
•  Object Databases: db4o; Versant; Objectivity; Gemstone; Starcounter; Perst; ZODB;
Magma; NEO; PicoLisp; siaqodb; Sterling; Morantex; EyeDB; HSS Database; FramerD;
Ninja Database Pro; Ndatabase;
•  …
30
Source:	
  nosql-­‐database.org	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
BigData@SIIT - Condition
Based Maintenance
SMARTLAB 31
©	
  ERDMANN	
  Sotware	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Advanced Data Analytics
•  Hierarchichal Functionality
– Descriptive Analytics
(what happened ?)
Data fusion, correlation, association,…
– Predictive Analytics
(what will happen ?)
Modelling, forecasting,…
– Prescriptive Analytics
(what should we do ?)
Interpretation, optimization,…
32
FROM:	
  Shit2Rail	
  EC	
  PPP	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Incremental Data
Analytics
33
Time	
  
Incremental	
  Knowledge	
  Building	
  for	
  Decision	
  Support	
  
FROM:	
  Shit2Rail	
  EC	
  PPP	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Adaptive Data Analytics
•  Domain adaptation
34
Knowledge	
  transfer	
  
FROM:	
  Shit2Rail	
  EC	
  PPP	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Contract based
knowledge exchange
35
Open	
  Data	
  
FROM:	
  Shit2Rail	
  EC	
  PPP	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Open Linked Data
36
RDF:	
  Resource	
  DescripMon	
  Framework	
  format	
  
RDF	
  query	
  language:	
  SPQRQL	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Open Data mashup
(example)
37
DITEN - University of Genoa - Italy
www.smartlab.ws
Open Data 1
38
DITEN - University of Genoa - Italy
www.smartlab.ws
Connectivity and information
sharing for intelligent mobility
Taken	
  from	
  hvp://whaMnspiresnick.files.wordpress.com/2011/09/urban-­‐density-­‐11.jpg	
  
Boost	
  of	
  polluMon	
  
CongesMon	
  of	
  
people/freight	
  
Urban	
  congesMon	
  costs	
  
approx.	
  8	
  B£/yr	
  in	
  the	
  
UK	
  
Life	
  span	
  of	
  UK	
  ciMzens	
  
living	
  in	
  large	
  urban	
  
areas	
  reduced	
  by	
  
approx.	
  8	
  months	
  
Source	
  IBM	
  
Human,	
  Social,	
  
Envornmental,	
  
Economic	
  (HSE2)	
  
sustainability	
  issues	
  
encompassed	
  
Open	
  data	
  
On-­‐field	
  
sensors	
  
WWW	
  
…	
  
CiMzen	
  centric	
  
approach	
  
Towards	
  TAVA	
  decision-­‐
making	
  
	
  
T iming	
  
A ccurate	
  
V aluable	
  	
  
A cMonable	
  
HSE2	
  
KPIs	
  
(Big)	
  Data	
  
AnalyMcs	
  engine	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Things simply do not work (yet..)
Marassi	
  
Stadium	
  
Lack	
  of	
  ability	
  in	
  
planning	
  
acMviMes	
  by	
  
contemplaMng	
  
heterogeneous	
  
available	
  
informaMon	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Analytics Engine
!
DITEN - University of Genoa - Italy
www.smartlab.ws
References
National Patents
•  D.Anguita, S.Pischiutta S.Ridella, D.Sterpi, Dispositivo per l'esecuzione della fase in avanti di un
classificatore automatico, (Device for the computation of the feed-forward phase of a classifier), N.
0001371367, Dep. 10/01/2006, 08/03/2010.
•  D.Anguita, S.Ridella, D.Sterpi, Procedimento e sistema per la classificazione automatica multiclasse di
dati di misura di una grandezza fisica, (Method and system for the automatic classification of multi-class
data), N. 0001352198, Dep. 23/07/2004, 19/01/2009.
Selected publications
•  L.Ghelardoni, A.Ghio, D.Anguita, Energy Load Forecasting Using Empirical Mode Decomposition and
Support Vector Regression, IEEE Transactions on Smart Grids, Vol. 4, No. 1, pp. 549-556, 2013.
•  L.Oneto, A.Ghio, D.Anguita, S.Ridella, An Improved Analysis of the Rademacher Data-dependent Bound
Using Its Self-Bounding Property, Neural Networks, Vol. 44, No., pp. 107-111, 2013.
•  D.Anguita, A.Ghio, L.Oneto, S.Ridella, In-Sample Model Selection for Trimmed Hinge Loss Support
Vector Machine, Neural Processing Letters, Vol. 36, No. 3, pp. 275-283, 2012.
•  D.Anguita, A.Ghio, L.Oneto, S.Ridella, In-Sample and Out-of-Sample Model Selection and Error
Estimation for Support Vector Machines, IEEE Trans. on Neural Networks and Learning Systems, Vol. 23,
No. 9, pp. 1390-1406, 2012.
SMARTLAB 42
DITEN - University of Genoa - Italy
www.smartlab.ws
Technology Transfer
SMARTLAB 43
Spin-­‐off	
  founded	
  in	
  February	
  2007:	
  
	
  
10%:	
  University	
  of	
  Genoa	
  
10%:	
  Researchers	
  (University	
  of	
  Genoa)	
  
60%:	
  Industry	
  partner	
  (IsoSistemi	
  S.r.l.)	
  
20%:	
  Private	
  investors	
  
	
  
Target	
  market:	
  
	
  
	
  Steel	
  Industry	
  Intelligence	
  
	
  BI	
  &	
  AnalyMcs	
  
	
  	
  
	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Technology Transfer
SMARTLAB 44
Start-­‐up	
  founded	
  in	
  March	
  2013:	
  
	
  
49%:	
  Researchers	
  (University	
  of	
  Genoa)	
  
49%:	
  Industry	
  partner	
  (Infinity	
  S.p.A.)	
  
	
  	
  2%:	
  Private	
  investors	
  
	
  
In	
  preparaMon:	
  request	
  for	
  recogniMon	
  as	
  academic	
  Spin-­‐off	
  
	
  
Target	
  market:	
  
	
  
	
  Manufacturing	
  Intelligence	
  
	
  Real-­‐Mme	
  AnalyMcs	
  
	
  Scheduling	
  &	
  Planning	
  	
  
	
  
DITEN - University of Genoa - Italy
www.smartlab.ws
Thank you !
Davide.Anguita@unige.it	
  

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Big data analytics for transport

  • 1. DITEN - University of Genoa - Italy www.smartlab.ws (Big) Data Analytics and Intelligent Systems (for Transport) Davide.Anguita@unige.it SmartLab
  • 2. DITEN - University of Genoa - Italy www.smartlab.ws University of Genoa Polytechnic School 2 Polytechnic  School   Established  in  1870  –  ~1000  students  /year     Genuense  Athenaeum   Established  in  1481   35000  students   Italian  Rank:  2nd     (CENSIS  2010  -­‐  among  medium-­‐large  UniversiMes)     DITEN     Dept.  of  InformaMon  Technology,  Electrical   and  Naval  Engineering  
  • 3. DITEN - University of Genoa - Italy www.smartlab.ws SmartLab People SMARTLAB 3 Prof.  Sandro  Ridella   SmartLab  ScienMfic  Advisor   Prof.  Davide  Anguita   SmartLab  Coordinator   Dr.  Alessandro  Ghio   Postdoc  Research  Assistant     Luca  Ghelardoni   Postdoc  Research  Assistant     Luca  Oneto   Ph.D.  Student     Isah  Abdullahi  Lawal   ICE  Ph.D.  Student   (with  Univ.  of  London,  UK)   Jorge  Luis  Reyes  Or@z   ICE  Ph.D.  Student   (with  Univ.  Politec.  de    Catalunya,  Spain)       Giuseppe  Ripepi   Ph.D.  Student   (now  Postdoc  @  CNR)   +  Master  students  in:     •  Industrial  Engineering   •  Electronic  Engineering   •  Computer  Engineering   •  RoboMcs  Engineering   Mehrnoosh  Vahdat   ICE  Ph.D.  Student   (end  of  2013)  
  • 4. DITEN - University of Genoa - Italy www.smartlab.ws Teaching and training •  Master Course in Industrial Engineering (SV) –  Business Intelligence •  Istituto Superiore di Studi in Tecnologie dell'Informazione e della Comunicazione –  Business Intelligence & Analytics •  Master Course in Electronic Engineering –  Computational Intelligence •  Corporate training SMARTLAB 4
  • 5. DITEN - University of Genoa - Italy www.smartlab.ws (Big) Data Analytics •  Present – What can be done •  Past – What we have learned to do •  Future – What we intend to do SMARTLAB 5
  • 6. DITEN - University of Genoa - Italy www.smartlab.ws (Big) Data Analytics •  Present – What can be done •  Past – What we have learned to do •  Future – What we intend to do SMARTLAB 6
  • 7. DITEN - University of Genoa - Italy www.smartlab.ws 7 Analytics: a process AbstracMon   InformaMon  storage   InducMon   DeducMon   AcMon   Learning  from  Data  
  • 8. DITEN - University of Genoa - Italy www.smartlab.ws Big Data 8 Source: UC Berkeley School of Information
  • 9. DITEN - University of Genoa - Italy www.smartlab.ws 9 (Big) Data Servers  Running  Hadoop  at  Yahoo.com  
  • 10. DITEN - University of Genoa - Italy www.smartlab.ws Big Data Analytics: V3 •  Volume: The increase in data volumes within enterprise systems is caused by transaction volumes and other traditional data types, as well as by new types of data. Too much volume is a storage issue, but too much data is also a massive analysis issue. •  Variety: IT leaders have always had an issue translating large volumes of transactional information into decisions — now there are more types of information to analyze — mainly coming from social media and mobile (context-aware). Variety includes tabular data (databases), hierarchical data, documents, e-mail, metering data, video, still images, audio, stock ticker data, financial transactions and more. •  Velocity: This involves streams of data, structured record creation, and availability for access and delivery. Velocity means both how fast data is being produced and how fast the data must be processed to meet demand. (Gartner – 2011) 10
  • 11. DITEN - University of Genoa - Italy www.smartlab.ws (Big) Data Analytics 11 Data  storage  /  Data  warehouse  /  OLAP   Visual  AnalyMcs   Data  Mining       Machine  Learning    …   11
  • 12. DITEN - University of Genoa - Italy www.smartlab.ws (Big) Data Analytics •  Present – What can be done •  Past – What we have learned to do •  Future – What we intend to do SMARTLAB 12
  • 13. DITEN - University of Genoa - Italy www.smartlab.ws Real-time analytics Ferrari 13 Fuel  predicMon   Skid  predicMon  
  • 14. DITEN - University of Genoa - Italy www.smartlab.ws Fuel prediction - problem Ferrari 14 -1   -0.5   0   0.5   1   0   2000   4000   6000   8000   10000   12000   14000   Fuel   i_ssr2   ©  WikipediaProlific   KPIs:  Fuel  injectors  current  
  • 15. DITEN - University of Genoa - Italy www.smartlab.ws Fuel prediction - solution Ferrari 15 Gaussian  Kernel  Support   Vector  Regressor  with   Cross-­‐validated  Model   SelecMon   DB   Offline   Online  
  • 16. DITEN - University of Genoa - Italy www.smartlab.ws Fuel prediction - results Ferrari 16 Brazil  06-­‐Jun-­‐03  Lap  21-­‐28   OK   Alert   No  fuel    
  • 17. DITEN - University of Genoa - Italy www.smartlab.ws Skid prediction - problem Ferrari 17 ©  Robert   KPIs:  Acc_x,  Acc_y,  Speed     ©  Brian  Nelson  
  • 18. DITEN - University of Genoa - Italy www.smartlab.ws Skid prediction - solution Ferrari 18 Gaussian  Kernel  Support   Vector  Classifier  with   Cross-­‐validated  Model   SelecMon   DB   Offline   Skid   No  skid   Online  
  • 19. DITEN - University of Genoa - Italy www.smartlab.ws Skid prediction - result 05/03/14 Prova 19 -3 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 0 2000 4000 6000 8000 10000 12000 Analog output Real target M.Schumacher  -­‐  Fiorano   PredicMon  
  • 20. DITEN - University of Genoa - Italy www.smartlab.ws SMARTLAB 20 Smart Waves In  cooperaMon  with   MoMon  predicMon  for  Landing  Period  Designator  
  • 21. DITEN - University of Genoa - Italy www.smartlab.ws NeuroZenit SMARTLAB 21 ForecasMng  of  urban  traffic     Part  of  Elsag  Zenit  system   In  cooperaMon  with  
  • 22. DITEN - University of Genoa - Italy www.smartlab.ws SMARTLAB 22 Smart Bus In  cooperaMon  with   Arrival  Mme  forecasMng  for  bus  fleets     Tests  performed  on  ATM  (Milan)  bus  #90  
  • 23. DITEN - University of Genoa - Italy www.smartlab.ws SMARTLAB 23 Oracle Data Mining Suite Oracle  10g  DM  Suite  –  Beta  tesMng  
  • 24. DITEN - University of Genoa - Italy www.smartlab.ws SMARTLAB 24 EUNITE European Network on Intelligent Technologies ISAAC Internet Smart Adaptive Algorithm Computational Server (2002  –  2004)  
  • 25. DITEN - University of Genoa - Italy www.smartlab.ws … 2013… SMARTLAB 25 (Grimilde)  4  x  Xeon  (8C)  –  64  virtual  cores  –  128  GB  Ram   (Arla)  2  x  Xeon  (4C)  –  16  virtual  cores  –  32  GB  Ram     6TB  NAS  –  Storage   1Gb/s  Ethernet    
  • 26. DITEN - University of Genoa - Italy www.smartlab.ws …2015 SMARTLAB 26 (IBM  Cluster  -­‐  256  nodes)  
  • 27. DITEN - University of Genoa - Italy www.smartlab.ws Business Intelligence on Clouds SMARTLAB 27 Courtesy:  Salesforce.com   In  cooperaMon  with:    
  • 28. DITEN - University of Genoa - Italy www.smartlab.ws (Big) Data Analytics •  Present – What can be done •  Past – What we have learned to do •  Future – What we intend to do SMARTLAB 28
  • 29. DITEN - University of Genoa - Italy www.smartlab.ws SMARTLAB 29 Analytics for Complex Data: Process Mining In  cooperaMon  with:     Log  file   Process  descripMon  
  • 30. DITEN - University of Genoa - Italy www.smartlab.ws BigData@SIIT: NoSQL DBs… •  Wide Column: Hadoop / Hbase; Cassandra; Hypertable; Accumulo; Amazon SimpleDB; Cloudata; Cloudera; HPCC; Stratosphere; •  Document Store: MongoDB; CouchDB; RavenDB; Clusterpoint Server; ThruDB; Terrastore; RaptorDB; JasDB; SisoDB; SDB; SchemaFreeDB; djondb; •  Key Value/ Tuple Store: DynamoDB; Azure Table Storage; Couchbase Server; Riak; Redis; LevelDB; Chordless; GenieDB; Scalaris; Tokyo Cabinet / Tyrant; Scalien; Berkeley DB; Voldemort; Dynomite; KAI; MemcacheDB; Faircom C-Tree; HamsterDB; STSdb; Tarantool/Box; Maxtable; RaptorDB; TIBCO Active Spaces; allegro-C; nessDB; HyperDex; Mnesia; LightCloud; Hibari; BangDB; OpenLDAP; •  Graph Databases: Neo4J; Infinite Graph; Sones; InfoGrid; HyperGraphDB; DEX; GraphBase; Trinity; AllegroGraph; BrightstarDB; Bigdata; Meronymy; OpenLink Virtuoso; VertexDB; FlockDB; •  Multimodel Databases: OrientDB; ArangoDB; AlchemyDB; •  Object Databases: db4o; Versant; Objectivity; Gemstone; Starcounter; Perst; ZODB; Magma; NEO; PicoLisp; siaqodb; Sterling; Morantex; EyeDB; HSS Database; FramerD; Ninja Database Pro; Ndatabase; •  … 30 Source:  nosql-­‐database.org  
  • 31. DITEN - University of Genoa - Italy www.smartlab.ws BigData@SIIT - Condition Based Maintenance SMARTLAB 31 ©  ERDMANN  Sotware  
  • 32. DITEN - University of Genoa - Italy www.smartlab.ws Advanced Data Analytics •  Hierarchichal Functionality – Descriptive Analytics (what happened ?) Data fusion, correlation, association,… – Predictive Analytics (what will happen ?) Modelling, forecasting,… – Prescriptive Analytics (what should we do ?) Interpretation, optimization,… 32 FROM:  Shit2Rail  EC  PPP  
  • 33. DITEN - University of Genoa - Italy www.smartlab.ws Incremental Data Analytics 33 Time   Incremental  Knowledge  Building  for  Decision  Support   FROM:  Shit2Rail  EC  PPP  
  • 34. DITEN - University of Genoa - Italy www.smartlab.ws Adaptive Data Analytics •  Domain adaptation 34 Knowledge  transfer   FROM:  Shit2Rail  EC  PPP  
  • 35. DITEN - University of Genoa - Italy www.smartlab.ws Contract based knowledge exchange 35 Open  Data   FROM:  Shit2Rail  EC  PPP  
  • 36. DITEN - University of Genoa - Italy www.smartlab.ws Open Linked Data 36 RDF:  Resource  DescripMon  Framework  format   RDF  query  language:  SPQRQL  
  • 37. DITEN - University of Genoa - Italy www.smartlab.ws Open Data mashup (example) 37
  • 38. DITEN - University of Genoa - Italy www.smartlab.ws Open Data 1 38
  • 39. DITEN - University of Genoa - Italy www.smartlab.ws Connectivity and information sharing for intelligent mobility Taken  from  hvp://whaMnspiresnick.files.wordpress.com/2011/09/urban-­‐density-­‐11.jpg   Boost  of  polluMon   CongesMon  of   people/freight   Urban  congesMon  costs   approx.  8  B£/yr  in  the   UK   Life  span  of  UK  ciMzens   living  in  large  urban   areas  reduced  by   approx.  8  months   Source  IBM   Human,  Social,   Envornmental,   Economic  (HSE2)   sustainability  issues   encompassed   Open  data   On-­‐field   sensors   WWW   …   CiMzen  centric   approach   Towards  TAVA  decision-­‐ making     T iming   A ccurate   V aluable     A cMonable   HSE2   KPIs   (Big)  Data   AnalyMcs  engine  
  • 40. DITEN - University of Genoa - Italy www.smartlab.ws Things simply do not work (yet..) Marassi   Stadium   Lack  of  ability  in   planning   acMviMes  by   contemplaMng   heterogeneous   available   informaMon  
  • 41. DITEN - University of Genoa - Italy www.smartlab.ws Analytics Engine !
  • 42. DITEN - University of Genoa - Italy www.smartlab.ws References National Patents •  D.Anguita, S.Pischiutta S.Ridella, D.Sterpi, Dispositivo per l'esecuzione della fase in avanti di un classificatore automatico, (Device for the computation of the feed-forward phase of a classifier), N. 0001371367, Dep. 10/01/2006, 08/03/2010. •  D.Anguita, S.Ridella, D.Sterpi, Procedimento e sistema per la classificazione automatica multiclasse di dati di misura di una grandezza fisica, (Method and system for the automatic classification of multi-class data), N. 0001352198, Dep. 23/07/2004, 19/01/2009. Selected publications •  L.Ghelardoni, A.Ghio, D.Anguita, Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression, IEEE Transactions on Smart Grids, Vol. 4, No. 1, pp. 549-556, 2013. •  L.Oneto, A.Ghio, D.Anguita, S.Ridella, An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property, Neural Networks, Vol. 44, No., pp. 107-111, 2013. •  D.Anguita, A.Ghio, L.Oneto, S.Ridella, In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine, Neural Processing Letters, Vol. 36, No. 3, pp. 275-283, 2012. •  D.Anguita, A.Ghio, L.Oneto, S.Ridella, In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines, IEEE Trans. on Neural Networks and Learning Systems, Vol. 23, No. 9, pp. 1390-1406, 2012. SMARTLAB 42
  • 43. DITEN - University of Genoa - Italy www.smartlab.ws Technology Transfer SMARTLAB 43 Spin-­‐off  founded  in  February  2007:     10%:  University  of  Genoa   10%:  Researchers  (University  of  Genoa)   60%:  Industry  partner  (IsoSistemi  S.r.l.)   20%:  Private  investors     Target  market:      Steel  Industry  Intelligence    BI  &  AnalyMcs        
  • 44. DITEN - University of Genoa - Italy www.smartlab.ws Technology Transfer SMARTLAB 44 Start-­‐up  founded  in  March  2013:     49%:  Researchers  (University  of  Genoa)   49%:  Industry  partner  (Infinity  S.p.A.)      2%:  Private  investors     In  preparaMon:  request  for  recogniMon  as  academic  Spin-­‐off     Target  market:      Manufacturing  Intelligence    Real-­‐Mme  AnalyMcs    Scheduling  &  Planning      
  • 45. DITEN - University of Genoa - Italy www.smartlab.ws Thank you ! Davide.Anguita@unige.it