Workshop & Tutorial on Big Data Mining
Organizer: Emmanuel Viennet
DECEMBER 16-17-18 2014
University Paris 6 (Jussieu)
LIP6, room 25-26/101
*** TUESDAY, DECEMBER 16 ***
- 9:30 Opening (E. Viennet)
- 10:00 Job advertising on Social Networks - Mamadou Diaby, Work4Lab/L2TI (U. Paris 13) slides
- 10:30 Comparison of linear modularization criteria using the relational formalism - Patricia Conde-Cespedes, L2TI (U. Paris 13) slides
- 11:00 Coffee break
- 11:15 Recommendation of cooking recipes - Daniel Bernardes, L2TI (U. Paris 13) slides
- 11:45 Scalable Clustering Algorithm, by Mustapha Lebbah, LIPN (U. Paris 13) slides
- 12:30 - 14:00 LUNCH
- 14:00 Parallel, distributed models and programming paradigms Camille Coti (LIPN, U. Paris 13) slides
- 14:30 Dynamic of local communities in social networks Blaise Ngonmang (L2TI, U. Paris 13) slides
- 15:00 Cryptographic Tools for Privacy-Preserving Data Processing Frederik Armknecht (Mannheim University) slides
- 15:30 Coffee break
- 15:45 Tutorial : Zhuhua CAI (Google & Rice University, USA) Very Large Scale Bayesian Machine Learning Part 1: Introduction, basic concepts slides
- 17:30 END
*** WEDNESDAY, DECEMBER 17 ***
- 9:30 Tutorial, Part 2 MapReduce Implementation slides
- 12:30 LUNCH
- 14:00 Tutorial, Part 3 Prevailing Bayesian ML Systems. slides
- 17:00 END
*** THURSDAY, DECEMBRE 18 ***
- 9:30 Tutorial, Part 4 Bayesian ML with ETL
- Practice with participants
- Debate, questions/answers
- 12:00 CLOSING