Course unit
Data organisation 2
Last updated: 22/02/2024
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Course Director(s):
JUGANARU-MATHIEU Mihaela
General Description:
A first objective is to address some themes in the management of massive data and knowledge. We will address the following themes: The value of data; Interoperability and semantics of data; Knowledge graphs; Other NoSQL database models
A second objective is to address some topics in the manipulation of massive data including similar entity detection, frequent subset search, decision trees, graph mining, geographic information systems. These basic problems have many applications to textual or multimedia documents, marketing, transportation, etc. The idea is to show how to take into account the scaling aspect of massive data, either from an algorithmic point of view, or by relaxing the constraints on the problem, for example by accepting an approximate solution. Moreover, the feasibility aspects in terms of memory resources or I/O are taken into account.
Key words:
Graphs
SIG
Automatic learning
Big Data
Number of teaching hours
40
Fields of study
Computer Science, Information Systems
Teaching language
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