Winter School: Taming Big Data: From management and curation to storage and analysis

February 1st - 5th, 2016

Periklis Andritsos

Prof. Periklis Andritsos, University of Lausanne

Dr Thibault Estier, University of Lausanne

Prof. Renée J. Miller, University of Toronto (Canada)

Prof. Yannis Velegrakis, University of Trento (Italy)

Prof. Emmanuel Müller, University of Potsdam (Germany)

The main goal of this seminar is to explore the most novel paradigms and technologies on Big Data management, storage and curation. We will discuss the challenges that exist in acquiring and curating big data, as well as performing large-scale analytics using novel platforms that may go beyond batch processing. The world-renowned speakers of the Winter School will discuss the challenges connected to the aforementioned themes.

Professor Renée J. Miller (University of Toronto, Canada), will deliver lectures related to the management of big data. More precisely, her topics will include:

• The management of data when their formats are heterogeneous, e.g. when it comes from data sources with disparate models.
• The algorithms involved when in the transformation and query algorithms that enable the integration of heterogeneous data.
• Algorithms involved find structure and impute missing values in large collections of data in order to improve their Data Quality.
• The topic of Data Curation, which involves the new forms of processing Big Data that have to do with the care of data and ensure it maintains its value over time.

Professor Yannis Velegrakis (University of Trento, Italy) is the head of the Data and Information Management group. He will deliver lectures related to big Data Analytics and Information Discovery with a special Emphasis on Social Data. He will also talk about Big Data Quality. In particular, the topics he will cover are:

• Keyword search and other Non-Traditional Query Techniques on Big Data Repositories. Efficient and Effective Techniques.
• Social Data Analytics for End User Understanding (Profiling) and Advanced Recommendation
• Data Quality in Big Data. Understanding Data Quality Problems like Controversies, or Information Incompleteness in large repositories.

Professor Emmanuel Müller is head of the Knowledge Discovery and Data Mining Group at Hasso Plattner Institute (University of Potsdam, Germany). He will deliver lectures related to Big Data Analytics, in particular focusing on complex and heterogeneous data resources. His lectures will cover the following topics:

• "Knowledge Discovery", is more than only automatic analysis of large and complex data. How, to incorporate the humans and their cognitive power into Big Data Analytics?
• "Data Mining on Complex Data". The complexity of data is a major open challenge for many data mining algorithms. How, to detect patterns in large, high dimensional and heterogeneous data resources?
• "Graph Mining on Attributed Networks". Beyond traditional network analysis and traditional database systems, big data analytics tries to analyze various different data resources. We focus on modern graph mining technology for attributed networks that is able to analyze both graph structures and attribute information.

Hôtel Suisse, Champéry

More details can be found at dblab.unil.ch.

Participants will be asked to pay a registration fee of CHF 100.

The registration for the Winter School has to be done before December 1^st, 2015.

NOTE: Since double rooms for PhD students will be shared between two students, in the "Comments and Response to Message" field, please indicate the name of another student with whom you would like to share a room.

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