École des sciences avancées de Luchon
School for advanced sciences of Luchon
Networks and data mining
Session II, June 27 - July 11, 2015
Debora Donato (San Francisco),
Victor Solovyev (KAUST)
In past ten years, modern societies developed enormous
communication and social networks and in parallel an enormous
amount of information became available from genetic sequences.
New characterization tools of
complex networks and data mining provide
possibilities for information analysis
in social networks, communication, economy, gene, protein
and other networks. The interdisciplinary approaches based on
complex networks and Markov chains allow to obtain advanced
results in such diverse fields as physics, computer science, economy and
bioinformatics. The school will present lectures of world
leading experts in these fields.
Scale-free networks; Markov chains and ranking algorithms;
Data mining methods; Google matrix analysis; Recommendation systems;
Information retrieval and search engines;
Temporal Web analysis; Machine learning;
Big data analysis for Web, Wikipedia, genomics and proteomics;
Reconstruction of biological networks from gene expression data;
Networks in economics.
Read more about things you will learn here.
List of lecturers and main topics:
Program + slides ,
Université de Toulouse ,
LABEX NEXT ,
EC FET NADINE,
Marie de Luchon
Conseil Scientifique d'École de Luchon