The tutorial “RDF graph summarization: principles, techniques and applications” by Haridimos Kondylakis, Dimitris Kotzinos and Ioana Manolescu has been accepted for publication in the EDBT 2019 conference.
The demonstration “Incremental structural summarization of RDF graphs” by François Goasdoué, Paweł Guzewicz and Ioana Manolescu has been accepted for publication in the EDBT 2019 conference.
Where/when: Thomas Flowers, 2018/11/14 2pm-3pm. Who: Felix Raimundo, PhD student with Pr. Diao and Dr. Abhyankar on genomics. Abstract: Genomics, Precision medicine, personalized sequencing; a bunch of buzzwords you may have seen in a lot in grant applications,”Further studies” sections, and the news. In this short talk we will try …
Mirjana Mazuran will give a talk on Wednesday 10th October, at 11am. The talk will take place in the Turing Building, Inria Saclay, in the room Flowers (https://team.inria.fr/cedar/contact/). Abstract: Nowadays, huge amounts of data are generated both daily and from different applications and sources. Being able to understand their …
The paper “Optimization for Active Learning-based Interactive Database Exploration” by Enhui Huang, Liping Peng, Luciano Di Palma, Ahmed Abdelkafi, Anna Liu, Yanlei Diao has been accepted for publication in PVLDB 2018.
Tuesday July 24 14:00, Saclay-Salle Grace Hopper
Prashant Shenoy University of Massachusetts Traditional distributed systems are built under the assumption that system resources will be available for use by applications unless there is a failure. Transient computing is a new phenomena that challenges this assumption by allowing system resources …
“Feature-based Comparison and Generation of Time Series” by Lars Kegel *, Martin Hahmann, and Wolfgang Lehner has been accepted for presentation in SSDBM 2018. (* The author is currently visiting Inria Saclay – Île-de-France, France)
Tim Hunter in the Flowers room of the Turing Building Abstract: Deep learning has shown tremendous successes, yet it often requires a lot of effort to leverage its power. Existing deep learning frameworks require writing a lot of code to run a model, let alone in a distributed manner. Deep …
“ConnectionLens: Finding Connections Across Heterogeneous Data Sources” by Camille Chanial, Rédouane Dziri, Helena Galhardas, Julien Leblay, Minh-Huong Le Nguyen and Ioana Manolescu has been accepted for presentation at VLDB 2018.
Asterios Katsifodimos will give a talk on Friday 20th, at 2pm. The talk will take place in the Turing Building, Inria Saclay, in the room Flowers (https://team.inria.fr/cedar/contact/). Title: Optimizing Across Relational and Linear Algebra in Parallel Analytics Pipelines Abstract: Advanced data analysis typically requires some form of preprocessing in …
