Difference between revisions of "Nicolas Lachiche"
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==Ongoing research== | ==Ongoing research== | ||
| − | * | + | * Data science |
| + | ** Relational data mining | ||
| + | ** Sequential/temporal data mining | ||
| + | ** Anomaly detection | ||
| + | ** NoSQL databases | ||
| − | * | + | * Applied research areas |
| − | ** | + | ** Health: radial (16-19) |
| − | + | ** Industry 4.0: [http://halfback.in.hs-furtwangen.de/home/ |Halfback] (17-20) | |
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| − | * | ||
| − | * | ||
| − | |||
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==Older projects== | ==Older projects== | ||
| − | * [ | + | * [http://reframe-d2k.org/|Reframe Project] (12-15) |
| − | * | + | * Data mining for evaluating water quality, for the [http://dataqual.engees.unistra.fr/fresqueau_presentation_gb|FRESQUEAU project] (12-14) |
| − | + | * Error-aware event mining in Biological Sequences, PEPS BMI project (12-13) | |
| − | * | + | * Active learning on Remote Sensing Images, for the FOSTER project (11-13) |
| − | * | + | * Predicting the best program to align multiple protein sequences (11-12) |
| − | + | * Complex aggregates: cardinalitation, quantiles, Caraf (09-18) | |
| − | + | * Anomaly detection, for the DAHLIA project (08-13) | |
| − | + | * Study of genetic operators, using GPGPU, applications to data mining (08-12) | |
| − | + | * State-of-the-art of relational data mining on very large databases (08-09) | |
| − | * | + | * Application to a geographical database, for the GeOpenSim project (07-11) |
| − | + | * Data mining of chemical reactions (04-11) | |
| + | * The PRIMUS family of systems: 1BC, 1BC2 (97-04) | ||
| + | * Scope classification (94-97) | ||
=Professional duties= | =Professional duties= | ||
Revision as of 17:53, 2 April 2019
- Associate professor in Computer Science, SDC team of the Engineering, Computer and Imaging Sciences Laboratory of the University of Strasbourg
- Head of the SDC team
Research projects
Ongoing research
- Data science
- Relational data mining
- Sequential/temporal data mining
- Anomaly detection
- NoSQL databases
- Applied research areas
- Health: radial (16-19)
- Industry 4.0: |Halfback (17-20)
Older projects
- Project (12-15)
- Data mining for evaluating water quality, for the project (12-14)
- Error-aware event mining in Biological Sequences, PEPS BMI project (12-13)
- Active learning on Remote Sensing Images, for the FOSTER project (11-13)
- Predicting the best program to align multiple protein sequences (11-12)
- Complex aggregates: cardinalitation, quantiles, Caraf (09-18)
- Anomaly detection, for the DAHLIA project (08-13)
- Study of genetic operators, using GPGPU, applications to data mining (08-12)
- State-of-the-art of relational data mining on very large databases (08-09)
- Application to a geographical database, for the GeOpenSim project (07-11)
- Data mining of chemical reactions (04-11)
- The PRIMUS family of systems: 1BC, 1BC2 (97-04)
- Scope classification (94-97)
Professional duties
Evaluation
- Research Council KU Leuven 2017, 2018
- Research Foundation - Flanders (Fonds Wetenschappelijk Onderzoek - Vlaanderen, FWO) 2015
- Czech Science Foundation 2011
For the French National Research Agency
- ANR Programme Blanc 2010
- ANR Programme Conception et Simulation 2010
- ANR Programme COSINUS 2009
Local
- Alsace BioValley 2018
Organisation
- MoReBikeS: ECML-PKDD 2015 Challenge on Model Reuse with Bike rental Station data
- LMCE 2015: Second international workshop on Learning over Multiple Contexts @ ECML 2015 - The value of model reuse
- LMCE 2014: First international workshop on Learning over Multiple Contexts @ ECML 2014
- Workshops and tutorials of the French conference EGC'09
- ROCML'06: ICML'06 workshop on ROC Analysis in Machine Learning (contact person), ROCML'05: ICML'05 workshop on ROC Analysis in Machine Learning (contact person), ROCAI'04: ECAI'04 workshop on ROC Analysis in AI (organising committee)
- ILP'01 (local chair)
Program committees
- IJCAI'19, IJCAI-ECAI'18, IJCAI'17 (SPC), IJCAI'13, IJCAI'11
- KDD'19, KDD'18, KDD'16, KDD'15, KDD'09
- ECML-PKDD'19, ECML-PKDD'18, ECML-PKDD'17, ECML-PKDD'16,ECML-PKDD'15, ECML-PKDD'14, ECML-PKDD'12, ECML-PKDD'11
- AAAI'18
- ILP'19, ILP'18, ILP'17 (co-chair), ILP'16
Reviewer
- Artificial Intelligence Journal, Machine Learning Journal, Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Information Sciences, International Journal of Data Mining, Modelling and Management, Pattern Recognition Letter, Genetic Programming and Evolvable Machines, European Journal of Operational Research, Annals of Mathematics and Artificial Intelligence, Neurocomputing, Data and Knowledge Engineering, Fundamenta Informaticae, Signal, Image and Video Processing
- Journal Électronique d'Intelligence Artificielle (JEDAI), Revue des Nouvelles Technologies de l'Information (RNTI)
Teaching
- Data mining in MSc. in computer science, MSc. chemo-informatics, and CNAM
- Business intelligence and Data Warehouse in MSc. and BSc. in computer science
- Geographical databases in MSc. in geomatics
- Databases, data persistency, web programming and GUI in BSc. in computer science
Publications
Contact
Nicolas Lachiche ICube - UMR 7357 Pôle API 300 Bd Sébastien Brant - CS 10413 67412 Illkirch cedex
Tel : +33 (0)3 68.85.45.77 Fax : +33 (0)3 68.85.44.55 courriel : nicolas.lachiche @ unistra.fr