“Uncertain Data Management: Models, Techniques, Algorithms” Prof. Alfredo Cuzzocrea

Tilte:  “Uncertain Data Management: Models, Techniques, Algorithms” Prof. Alfredo Cuzzocrea

Abstract:
Uncertain data arise in a plethora of modern application scenarios, with particular regards to Cloud computing environments. Uncertainty of data come from several reasons, among which we mention: transmission errors, storage errors, human errors, intrinsic data incompleteness, etc. In this course, state-of-the-art uncertain data management proposals are introduced and critically analyzed, by highlighting their benefits and limitations. Several specific case studies will be considered, such as relational data, graph data, multidimensional data, and so forth. Performance associated to the various techniques will also be explored. Finally, several real-life applications showing how uncertain data are exploited in practice, such as social networks, will be described, by emphasizing solutions devoted to overcoming uncertainty (and imprecision) in data.

Schedule:
19/01/2016 , time 10:00-13:00 – Seminar room of DIMES (Cube 42C, V Floor)
20/01/2016 , time 10:00-13:00 – Seminar room of DIMES (Cube 42C, V Floor)
21/01/2016 , time 10:00-13:00 – Seminar room of DIMES (Cube 42C, V Floor)
22/01/2016 , time 10:00-13:00 – Seminar room of DIMES (Cube 42C, V Floor)

25/01/2016 , time 10:00-13:00 – Seminar room of DIMES (Cube 42C, V Floor)