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1Bruxelles – 30 mai 2011
MLG – Machine Learning Group
Computer Science Department
ULB, Bruxelles
Prof. Gianluca Bontempi
Professeur
Lab’Insight « Intelligence Artificielle » -
Datamining et Business Intelligence, Bruxelles, le 30 mai 2011
2Bruxelles – 30 mai 2011
DOMAINES DE COMPÉTENCES
ET CIBLES INDUSTRIELLES
Domaines de compétences
• Data mining of massive datasets
• Long-term prediction of spatio-temporal time series
• Bioinformatics
• Microarray data analysis
• Network inference
•Environmental modeling by wireless sensor networks
• Fraud detection
• Open-source data mining
• Industrial sectors:
– Pharma
– Finance
– Logistics
– Environment and agriculture
– Biomedical
3Bruxelles – 30 mai 2011
Wireless sensor network
intelligent monitoring
Wireless sensor network
intelligent monitoring
• Tiny embedded computing and sensing systems, which are
resource-constrained (energy, radio)
• Applications in many domains:
• Industry, agriculture, health, ecology, ..
• Machine learning used for: information extraction,
classification, clustering, prediction, compression
• Projects:
• Indoor localisation (PIMAN project)
• Monitoring of greenhouse, ethology lab, CS lab
4Bruxelles – 30 mai 2011
Long-term time series predictionLong-term time series prediction
• Long-term forecasting is an open issue in the time series
community
• We focus on innovative paradigms for effective multi-step-
ahead predictions
• Application:
• Wind forecasting
• Logistic (Dieteren project)
• Finance
• Anesthaesia (WALEO project)
• Rehabilitation (ICT4REHAB project)
Time Series
TimeValues
0 200 400 600 800
010203040
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5Bruxelles – 30 mai 2011
Network inference in bioinformaticsNetwork inference in bioinformatics
• Graphical representation of complex genomic patterns in
diseases
•Dimensionality reduction, integration of expert knowledge
and data
• Projects
• Breast cancer (collaboration with Bordet and Harvard)
• ARC project on Diabetes (collaboration with Erasme)
DKFZp686B04100 / ISGF-3 / STAT1 / STAT91
MYOM2 / TTNAP
AD024 / MGC22228 / SPBC25 / SPC25
NTT5 / SLC6A16
TREB5 / XBP1 / XBP2
KPL1 / PHR1 / PHRET1 / PLEKHB1
FLJ17098 / FLJ17228 / FLJ39739 / FLJ99434
CASP12 / CASP12P1
BRCC5 / HRAD51 / HsRad51 / HsT16930 / RAD51 / RAD51A / RECA
FLJ22419 / ZNF385D / ZNF659
DKFZp434B227 / FLJ11667 / FLJ23571 / FLJ37775 / IQCG
LOC100129166
CRKL
DKFZp686F0937 / FLJ36270 / FLJ45632 / PLXDC1 / TEM3 / TEM7
FLJ25797 / MGC34869 / RHEBL1 / RHEBL1c
CC2D2A / JBTS9 / KIAA1345 / MKS6
LOC339298
LOC100291812
KIAA0865 / MYO16 / MYR8 / Myo16b
ATF4 / CREB-2 / CREB2 / TAXREB67 / TXREB
Bhlhb7 / OLIG3 / bHLHe20
BCM1 / BLAST / BLAST1 / CD48 / MEM-102 / SLAMF2 / hCD48 / mCD48
DKFZp686E2262 / DKFZp686H15164 / FLJ44133 / HPTP-BETA / HPTPB / MGC142023 / MGC59935 / PTPB / PTPRB
KAIA2138 / KIAA2138 / MGC129623 / SLC17A4
BRICD3 / CHM-I / CHM1 / LECT1
Bruxelles – 30 mai 2011
→ Data mining consultancy services
→ Preliminary contact (half a day)
→ MLG presents its expertise in data mining
→ Client presents its problem and the type of data
→ Academic analysis (min 10 days)
→ Preliminary analysis
→ Detailed assessment and validation of the predictive model
→ Prototype in open-source
→ Custom solution and implementation (min 20 days)
→ Integration in the company information system
→ Maintenance and assistance
→ Joint collaborative projects
6
SERVICES A L’ENTREPRISESERVICES A L’ENTREPRISE
Bruxelles – 30 mai 2011 7
SERVICES A L’ENTREPRISE
FORMATIONS
SERVICES A L’ENTREPRISE
FORMATIONS
Thèmes
→ Data analysis, data mining, machine learning course
→ Open Source programming course for data mining
→ Coaching of personnel
8Bruxelles – 30 mai 2011
CONTACTS LABO
Prof. Gianluca Bontempi
Professeur
gbonte@ulb.ac.be - Phone : +32 2 650 55 91
Dr Yann-aël Le Borgne
Researcher
yleborgn@ulb.ac.be - Phone : +32 2 650 55 94
Dr Patrick E. Meyer
Researcher
pmeyer@ulb.ac.be - Phone : +32 2 650 58 76
Université libre de Bruxelles
Machine Learning Group
Boulevard du Triomphe - Campus ULB La Plaine, CP 212 - B-1050 Bruxelles
mlg.ulb.ac.be

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Machine learning group computer science department ULB - Lab'InSight Artificial Intelligence

  • 1. 1Bruxelles – 30 mai 2011 MLG – Machine Learning Group Computer Science Department ULB, Bruxelles Prof. Gianluca Bontempi Professeur Lab’Insight « Intelligence Artificielle » - Datamining et Business Intelligence, Bruxelles, le 30 mai 2011
  • 2. 2Bruxelles – 30 mai 2011 DOMAINES DE COMPÉTENCES ET CIBLES INDUSTRIELLES Domaines de compétences • Data mining of massive datasets • Long-term prediction of spatio-temporal time series • Bioinformatics • Microarray data analysis • Network inference •Environmental modeling by wireless sensor networks • Fraud detection • Open-source data mining • Industrial sectors: – Pharma – Finance – Logistics – Environment and agriculture – Biomedical
  • 3. 3Bruxelles – 30 mai 2011 Wireless sensor network intelligent monitoring Wireless sensor network intelligent monitoring • Tiny embedded computing and sensing systems, which are resource-constrained (energy, radio) • Applications in many domains: • Industry, agriculture, health, ecology, .. • Machine learning used for: information extraction, classification, clustering, prediction, compression • Projects: • Indoor localisation (PIMAN project) • Monitoring of greenhouse, ethology lab, CS lab
  • 4. 4Bruxelles – 30 mai 2011 Long-term time series predictionLong-term time series prediction • Long-term forecasting is an open issue in the time series community • We focus on innovative paradigms for effective multi-step- ahead predictions • Application: • Wind forecasting • Logistic (Dieteren project) • Finance • Anesthaesia (WALEO project) • Rehabilitation (ICT4REHAB project) Time Series TimeValues 0 200 400 600 800 010203040 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ●● ● ● ● ● ● ●● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●●● ● ● ● ● ● ● ●● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ●● ● ● ● ● ● ● ● ● ● ●● ● ● ● ●●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
  • 5. 5Bruxelles – 30 mai 2011 Network inference in bioinformaticsNetwork inference in bioinformatics • Graphical representation of complex genomic patterns in diseases •Dimensionality reduction, integration of expert knowledge and data • Projects • Breast cancer (collaboration with Bordet and Harvard) • ARC project on Diabetes (collaboration with Erasme) DKFZp686B04100 / ISGF-3 / STAT1 / STAT91 MYOM2 / TTNAP AD024 / MGC22228 / SPBC25 / SPC25 NTT5 / SLC6A16 TREB5 / XBP1 / XBP2 KPL1 / PHR1 / PHRET1 / PLEKHB1 FLJ17098 / FLJ17228 / FLJ39739 / FLJ99434 CASP12 / CASP12P1 BRCC5 / HRAD51 / HsRad51 / HsT16930 / RAD51 / RAD51A / RECA FLJ22419 / ZNF385D / ZNF659 DKFZp434B227 / FLJ11667 / FLJ23571 / FLJ37775 / IQCG LOC100129166 CRKL DKFZp686F0937 / FLJ36270 / FLJ45632 / PLXDC1 / TEM3 / TEM7 FLJ25797 / MGC34869 / RHEBL1 / RHEBL1c CC2D2A / JBTS9 / KIAA1345 / MKS6 LOC339298 LOC100291812 KIAA0865 / MYO16 / MYR8 / Myo16b ATF4 / CREB-2 / CREB2 / TAXREB67 / TXREB Bhlhb7 / OLIG3 / bHLHe20 BCM1 / BLAST / BLAST1 / CD48 / MEM-102 / SLAMF2 / hCD48 / mCD48 DKFZp686E2262 / DKFZp686H15164 / FLJ44133 / HPTP-BETA / HPTPB / MGC142023 / MGC59935 / PTPB / PTPRB KAIA2138 / KIAA2138 / MGC129623 / SLC17A4 BRICD3 / CHM-I / CHM1 / LECT1
  • 6. Bruxelles – 30 mai 2011 → Data mining consultancy services → Preliminary contact (half a day) → MLG presents its expertise in data mining → Client presents its problem and the type of data → Academic analysis (min 10 days) → Preliminary analysis → Detailed assessment and validation of the predictive model → Prototype in open-source → Custom solution and implementation (min 20 days) → Integration in the company information system → Maintenance and assistance → Joint collaborative projects 6 SERVICES A L’ENTREPRISESERVICES A L’ENTREPRISE
  • 7. Bruxelles – 30 mai 2011 7 SERVICES A L’ENTREPRISE FORMATIONS SERVICES A L’ENTREPRISE FORMATIONS Thèmes → Data analysis, data mining, machine learning course → Open Source programming course for data mining → Coaching of personnel
  • 8. 8Bruxelles – 30 mai 2011 CONTACTS LABO Prof. Gianluca Bontempi Professeur gbonte@ulb.ac.be - Phone : +32 2 650 55 91 Dr Yann-aël Le Borgne Researcher yleborgn@ulb.ac.be - Phone : +32 2 650 55 94 Dr Patrick E. Meyer Researcher pmeyer@ulb.ac.be - Phone : +32 2 650 58 76 Université libre de Bruxelles Machine Learning Group Boulevard du Triomphe - Campus ULB La Plaine, CP 212 - B-1050 Bruxelles mlg.ulb.ac.be