Knowledge transfer
Ongoing collaborations
Institut Català d'Oncologia. Analysis of oncological data with Data Mining methods. Coordinator: R. Gavaldà.
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Hospital de Sant Pau. Analysis of Electronic Health Records with Data Mining methods. Coordinator: R. Gavaldà. December 2015 - December 2016
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Onfan S.L.
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Acuity Trading Analysis of financial data Participants: Argimiro Arratia May 2015 - October 2015 Media reports: |
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Transport Simulation Systems Application of machine learning techniques to traffic prediction in transportation networks Participants: Ricard Gavaldà, Rafael Mena April 2015 - Present
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Gas Natural Fenosa. Algorithms for anomaly detections. Participant: R. Gavaldà.
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Past collaborations
Urbiotica Coordinator: R. Gavaldà September 2013 - July 2015.
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Datknosys S.L. Collaboration in Social Network Analysis and related topics. January 2012 - July 2013
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Ericsson. Research and development on Data Stream Mining.
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Code3 informatica. Detection of anomalies in ATM behavior. July 2010 - October 2010.
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Consolidated Edison Company of New York (2005-2007) Participants: Marta Arias (work done while M. A. was at the Center for Computational Learning Systems). |
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The project consisted in the development and implementation of a system capable of ranking feeders according to their likelihood of failure in real-time. The system used a series of machine learning techniques ranging from boosting to online learning, and required a significant amount of software engineering. For more information on the project, check out the following publications and this link:
This project was partly supported by a research contract from Consolidated Edison Company of New York.
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TISSAT (2005-2006) Participants: Gemma Garriga, José L. Balcázar. |
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The project consisted in the developtment of an integrated system to process in real time a huge incoming stream of alerts produced by current intrusion detection systems. A key component of this system includes an unsupervised clustering algorithm that combines a temporal sliding window, entropy tests, and expert rules to track the on-the-fly evolution of alert groups. More information can be found at this link.
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